AASP-L1.1: DESIGN OF ROBUST POLYNOMIAL BEAMFORMERS FOR SYMMETRIC ARRAYS
Edwin Mabande, Michael Buerger, Walter Kellermann, University of Erlangen-Nuremberg, Germany
AASP-L1.2: ANALYSIS OF THE SPHERICAL WAVE TRUNCATION ERROR FOR SPHERICAL HARMONIC SOUNDFIELD EXPANSIONS
Stefanie Brown, Shuai Wang, Deep Sen, University of New South Wales, Australia
AASP-L1.3: NARROWBAND SOURCE LOCALIZATION IN AN UNKNOWN REVERBERANT ENVIRONMENT USING WAVEFIELD SPARSE DECOMPOSITION
Gilles Chardon, UPMC Univ Paris 06, France; Laurent Daudet, University Paris Diderot, France
AASP-L1.4: ADAPTIVE LISTENING ROOM EQUALIZATION USING A SCALABLE FILTERING STRUCTURE IN THE WAVE DOMAIN
Martin Schneider, Walter Kellermann, University Erlangen-Nuremberg, Germany
AASP-L1.5: AN EXPECTATION-MAXIMIZATION ALGORITHM FOR MULTICHANNEL ADAPTIVE SPEECH DEREVERBERATION IN THE FREQUENCY-DOMAIN
Dominic Schmid, Sarmad Malik, Gerald Enzner, Ruhr-Universität Bochum, Germany
AASP-L1.6: BINAURAL CUE PRESERVATION FOR HEARING AIDS USING MULTI-CHANNEL WIENER FILTER WITH INSTANTANEOUS ITF PRESERVATION
Daniel Marquardt, Volker Hohmann, Simon Doclo, Carl-von-Ossietzky University Oldenburg, Germany
AASP-L2.1: A NOVEL PERSPECTIVE ON STEREOPHONIC ACOUSTIC ECHO CANCELLATION
Cristian Stanciu, University Politehnica of Bucharest, Romania; Jacob Benesty, University of Quebec, Canada; Constantin Paleologu, University Politehnica of Bucharest, Romania; Tomas Gaensler, mh Acoustics, United States; Silviu Ciochina, University Politehnica of Bucharest, Romania
AASP-L2.2: INTER-CHANNEL DECORRELATION BY SUB-BAND RESAMPLING IN FREQUENCY DOMAIN
Jason Wung, Ted Wada, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States
AASP-L2.3: NONLINEAR ACOUSTIC ECHO CANCELLATION BASED ON A PARALLEL-CASCADE KERNEL AFFINE PROJECTION ALGORITHM
Jose Manuel Gil-Cacho, Toon van Waterschoot, Marc Moonen, Katholieke Universiteit Leuven, Belgium; Soren Holdt Jensen, Aalborg University, Denmark
AASP-L2.4: VARIATIONAL BAYESIAN INFERENCE FOR NONLINEAR ACOUSTIC ECHO CANCELLATION USING ADAPTIVE CASCADE MODELING
Sarmad Malik, Gerald Enzner, Ruhr-Universität Bochum, Germany
AASP-L2.5: DUAL AMPLIFIER AND LOUDSPEAKER COMPENSATION USING FAST CONVERGENT AND CASCADED APPROACHES TO NON-LINEAR ACOUSTIC ECHO CANCELLATION
Moctar Mossi Idrissa, Christelle Yemdji, Nicholas Evans, Eurecom, France; Christophe Beaugeant, Fabrice Plante, Fatimazahra Marfouq, Intel Mobile Communications, France
AASP-L2.6: METHOD FOR TEMPORAL INTERPOLATION OF SHORT-TERM SPECTRA AND ITS APPLICATION TO ADAPTIVE SYSTEM IDENTIFICATION
Mohamed Krini, SVOX Deutschland GmbH, Germany; Gerhard Schmidt, Christian-Albrechts-Universität zu Kiel, Germany
AASP-L3.1: GAUSSIAN MIXTURE MODELS FOR SCORE-INFORMED INSTRUMENT SEPARATION
Pablo Sprechmann, University of Minnesota, United States; Pablo Cancela, Universidad de la Republica, Uruguay; Guillermo Sapiro, University of Minnesota, United States
AASP-L3.2: ADAPTIVE FILTERING FOR MUSIC/VOICE SEPARATION EXPLOITING THE REPEATING MUSICAL STRUCTURE
Antoine Liutkus, Télécom ParisTech / CNRS LTCI, France; Zafar Rafii, Northwestern University, United States; Roland Badeau, Télécom ParisTech / CNRS LTCI, France; Bryan Pardo, Northwestern University, United States; Gaël Richard, Télécom ParisTech / CNRS LTCI, France
AASP-L3.3: SINGING-VOICE SEPARATION FROM MONAURAL RECORDINGS USING ROBUST PRINCIPAL COMPONENT ANALYSIS
Po-Sen Huang, Scott Deeann Chen, Paris Smaragdis, Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States
AASP-L3.4: SUPERVISED AND SEMI-SUPERVISED SUPPRESSION OF BACKGROUND MUSIC IN MONAURAL SPEECH RECORDINGS
Felix Weninger, Jordi Feliu, Björn Schuller, Technische Universität München, Germany
AASP-L3.5: ON MUTUAL INFORMATION AS A MEASURE OF SPEECH INTELLIGIBILITY
Jalal Taghia, Ruhr-Universität Bochum, Germany; Richard C. Hendriks, Delft University of Technology, Netherlands; Rainer Martin, Ruhr-Universität Bochum, Germany
AASP-L3.6: SUBJECTIVE AND OBJECTIVE QUALITY ASSESSMENT OF SINGLE-CHANNEL SPEECH SEPARATION ALGORITHMS
Pejman Mowlaee, Ruhr-Universität Bochum, Germany; Rahim Saeidi, University of Eastern Finland, Finland; Mads Græsbøll Christensen, Aalborg University, Denmark; Rainer Martin, Ruhr-Universität Bochum, Germany
AASP-L4.1: A REGRESSIVE BOOSTING APPROACH TO AUTOMATIC AUDIO TAGGING BASED ON SOFT ANNOTATOR FUSION
Rémi Foucard, Slim Essid, Télécom ParisTech, France; Mathieu Lagrange, IRCAM, France; Gaël Richard, Télécom ParisTech, France
AASP-L4.2: PLAYING WITH TAGGING: A REAL-TIME TAGGING MUSIC PLAYER
Ju-Chiang Wang, National Taiwan University, Taiwan; Hsin-Min Wang, Academia Sinica, Taiwan; Shyh-Kang Jeng, National Taiwan University, Taiwan
AASP-L4.3: MUSICAL GENRE CLASSIFICATION USING MELODY FEATURES EXTRACTED FROM POLYPHONIC MUSIC SIGNALS
Justin Salamon, Bruno Rocha, Emilia Gómez, Universitat Pompeu Fabra, Spain
AASP-L4.4: ROBUST FEATURE EXTRACTION FOR AUTOMATIC RECOGNITION OF VIBRATO SINGING IN RECORDED POLYPHONIC MUSIC
Felix Weninger, Technische Universität München, Germany; Noam Amir, Ofer Amir, Irit Ronen, Tel Aviv University, Israel; Florian Eyben, Björn Schuller, Technische Universität München, Germany
AASP-L4.5: ON THE AUTOMATIC IDENTIFICATION OF DIFFICULT EXAMPLES FOR BEAT TRACKING: TOWARDS BUILDING NEW EVALUATION DATASETS
Andre Holzapfel, Matthew Davies, INESC TEC, Portugal; Jose Ricardo Zapata, University Pompeu Fabra, Portugal; Joao Lobato Oliveira, Fabien Gouyon, INESC TEC, Portugal
AASP-L4.6: TOWARD MUSICALLY-MOTIVATED AUDIO FINGERPRINTS
Peter Grosche, Meinard Mueller, Saarland University and MPI Informatik, Germany
AASP-L5.1: SINGLE-CHANNEL NOISE REDUCTION IN THE STFT DOMAIN BASED ON THE BIFREQUENCY SPECTRUM
Jingdong Chen, Northwestern Polytechnical University, China; Jacob Benesty, INRS-EMT, University of Quebec, Canada
AASP-L5.2: ITERATIVE PHASE RECONSTRUCTION OF WIENER FILTERED SIGNALS
Nicolas Sturmel, Laurent Daudet, Institut Langevin, France
AASP-L5.3: IMPROVED MMSE-BASED NOISE PSD TRACKING USING TEMPORAL CEPSTRUM SMOOTHING
Timo Gerkmann, Universität Oldenburg, Fakultät V, Sweden; Richard C. Hendriks, Delft University of Technology, Sweden
AASP-L5.4: A MULTICHANNEL MMSE-BASED FRAMEWORK FOR JOINT BLIND SOURCE SEPARATION AND NOISE REDUCTION
Mehrez Souden, Shoko Araki, Keisuke Kinoshita, Tomohiro Nakatani, Hiroshi Sawada, NTT Corporation, Japan
AASP-L5.5: A TWO-CHANNEL REVERBERATION SUPPRESSION SCHEME BASED ON BLIND SIGNAL SEPARATION AND WIENER FILTERING
Andreas Schwarz, Klaus Reindl, Walter Kellermann, University of Erlangen-Nuremberg, Germany
AASP-L5.6: OPTIMAL RECTANGULAR FILTERING MATRIX FOR NOISE REDUCTION IN THE TIME DOMAIN
Chao Li, NLPR, IA, Chinese Academy of Sciences, China; Jacob Benesty, INRS-EMT, University of Quebec, Canada; Jingdong Chen, Northwestern Polytechnical University, China
AASP-L6.1: POLYPHONIC PIANO NOTE TRANSCRIPTION WITH RECURRENT NEURAL NETWORKS
Sebastian Böck, Markus Schedl, Johannes Kepler University, Austria
AASP-L6.2: SHIFT-VARIANT NON-NEGATIVE MATRIX DECONVOLUTION FOR MUSIC TRANSCRIPTION
Holger Kirchhoff, Simon Dixon, Anssi Klapuri, Queen Mary University of London, United Kingdom
AASP-L6.3: USING SCORE-INFORMED CONSTRAINTS FOR NMF-BASED SOURCE SEPARATION
Sebastian Ewert, University of Bonn, Germany; Meinard Mueller, Saarland University and MPI Informatik, Germany
AASP-L6.4: EXPLICIT BEAT STRUCTURE MODELING FOR NON-NEGATIVE MATRIX FACTORIZATION-BASED MULTIPITCH ANALYSIS
Kazuki Ochiai, Hirokazu Kameoka, Shigeki Sagayama, The University of Tokyo, Japan
AASP-L6.5: A SOURCE-FILTER MODEL FOR MUSICAL INSTRUMENT SOUND TRANSFORMATION
Marcelo Caetano, Xavier Rodet, Institut de Recherche et Coordination Acoustique/Musique, France
AASP-L6.6: A PSYCHOACOUSTIC BASS ENHANCEMENT SYSTEM WITH IMPROVED TRANSIENT AND STEADY-STATE PERFORMANCE
Hao Mu, Woon-Seng Gan, Ee-Leng Tan, Nanyang Technological University, Singapore
AASP-P1.1: A MODEL OF ATTENTION-DRIVEN SCENE ANALYSIS
Malcolm Slaney, Yahoo! Research, United States; Trevor Agus, CNRS, France; Shih-Chii Liu, Institute of Neuroinformatics, Switzerland; Merve Kaya, Mounya Elhilali, The Johns Hopkins University, United States
AASP-P1.2: DUAL MICROPHONE SOLUTION FOR ACOUSTIC FEEDBACK CANCELLATION FOR ASSISTIVE LISTENING
Carlos Renato C. Nakagawa, Sven Nordholm, Wei-Yong Yan, Curtin University, Australia
AASP-P1.3: SYNCHRONY CAPTURE FILTERBANK (SCFB): AN AUDITORY PERIPHERY INSPIRED METHOD FOR TRACKING SINUSOIDS
Ramdas Kumaresan, Vijay Kumar Peddinti, Peter Cariani, University of Rhode Island, United States
AASP-P1.4: A REVISED METHOD OF CALCULATING AUDITORY EXCIATION PATTERNS AND LOUDNESS FOR TIME-VARYING SOUNDS
Zhangli Chen, Guangshu Hu, Tsinghua University, China
AASP-P1.5: ANNOYANCE PERCEPTION AND MODELING FOR HEARING-IMPAIRED LISTENERS
Srikanth Vishnubhotla, Jinjun Xiao, Buye Xu, Martin McKinney, Tao Zhang, Starkey Laboratories, United States
AASP-P1.6: COHERENCE BASED DOUBLE TALK DETECTOR WITH SOFT DECISION
Ivan Tashev, Microsoft Research, United States
AASP-P1.7: REGULARIZATION OF THE IMPROVED PROPORTIONATE AFFINE PROJECTION ALGORITHM
Constantin Paleologu, University Politehnica of Bucharest, Romania; Jacob Benesty, University of Quebec, Canada; Felix Albu, University Politehnica of Bucharest, Romania
AASP-P1.8: ROBUST LOW-COMPLEXITY TRANSFER LOGIC FOR TWO-PATH ECHO CANCELLATION
Christian Schüldt, Blekinge Institute of Technology, Sweden; Fredric Lindstrom, Limes Audio AB, Sweden; Ingvar Claesson, Blekinge Institute of Technology, Sweden
AASP-P1.9: ON AN ITERATIVE METHOD FOR BASIS PURSUIT WITH APPLICATION TO ECHO CANCELLATION WITH SPARSE IMPULSE RESPONSES
Pratik Shah, Steven Grant, Missouri University of Science and Technology, United States; Jacob Benesty, University of Quebec, Canada
AASP-P1.10: DUAL-MICROPHONE ECHO CANCELLER FOR SUPPRESSING LOUD NONLINEAR ECHO
Osamu Hoshuyama, NEC Corporation, Japan
AASP-P1.11: OPTIMIZED GRADIENT CALCULATION FOR ROOM IMPULSE RESPONSE RESHAPING ALGORITHM BASED ON P-NORM OPTIMIZATION
Radoslaw Mazur, Jan Ole Jungmann, Alfred Mertins, University of Lübeck, Germany
AASP-P1.12: A VARIABLE STEP-SIZE FILTERED-X GRADIENT ADAPTIVE LATTICE ALGORITHM FOR ACTIVE NOISE CONTROL
Seong-Woo Kim, Young-Cheol Park, Dae-Hee Youn, Yonsei University, Republic of Korea
AASP-P2.1: SOUND SOURCE LOCALIZATION IN SPATIALLY COLORED NOISE USING A HIERARCHICAL BAYESIAN MODEL
Futoshi Asano, Hideki Asoh, AIST, Japan; Kazuhiro Nakadai, HRI-JP, Japan
AASP-P2.2: A SPARSE BLOCKING MATRIX FOR MULTIPLE CONSTRAINTS GSC BEAMFORMER
Shmulik Markovich-Golan, Sharon Gannot, Bar-Ilan University, Israel; Israel Cohen, Technion – Israel Institute of Technology, Israel
AASP-P2.3: ROBUST CROSS-CORRELATION-BASED TECHNIQUES FOR DETECTING AND LOCATING SIMULTANEOUS, MULTIPLE SOUND SOURCES
Hoang Do, Tokbox Inc., United States; Harvey Silverman, Brown University, United States
AASP-P2.4: AN APPROACH TO PREVENT ADAPTIVE BEAMFORMERS FROM CANCELLING THE DESIRED SIGNAL
Tofigh Naghibi, Beat Pfister, ETHZ University, Switzerland
AASP-P2.5: ANALYSIS OF ACOUSTIC MIMO SYSTEMS IN ENCLOSED SOUND FIELDS
Hai Morgenstern, Boaz Rafaely, Ben-Gurion University of the Negev, Israel
AASP-P2.6: ENHANCED MULTIDIMENSIONAL SPATIAL FUNCTIONS FOR UNAMBIGUOUS LOCALIZATION OF MULTIPLE SPARSE ACOUSTIC SOURCES
Francesco Nesta, Maurizio Omologo, Fondazione Bruno Kessler - irst, Italy
AASP-P2.7: A BINAURAL SOUND SOURCE LOCALIZATION METHOD USING AUDITIVE CUES AND VISION
Karim Youssef, Sylvain Argentieri, Jean-Luc Zarader, Institut des Systèmes Intelligents et de Robotique, University Paris6, France
AASP-P2.8: LOCALIZED SOUND REPRODUCTION USING CIRCULAR LOUDSPEAKER ARRAY BASED ON ACOUSTIC EVANESCENT WAVE
Hiroaki Itou, Ken'ichi Furuya, Yoichi Haneda, Nippon Telegraph and Telephone Corporation, Japan
AASP-P2.9: DIFFUSED SENSING FOR SHARP DIRECTIVITY MICROPHONE ARRAY
Kenta Niwa, Sumitaka Sakauchi, Ken'ichi Furuya, Manabu Okamoto, Yoichi Haneda, NTT Cyber Space Laboratories, Japan
AASP-P2.10: SPEED OF SOUND AND AIR TEMPERATURE ESTIMATION USING THE TDOA-BASED LOCALIZATION FRAMEWORK
Paolo Annibale, Rudolf Rabenstein, University of Erlangen-Nuremberg, Germany
AASP-P2.11: A MODEL BASED EXCURSION PROTECTION ALGORITHM FOR LOUDSPEAKERS
Chenchi Luo, James McClellan, Georgia Institute of Technology, United States; Milind Borkar, Arthur Redfern, Texas Instruments, Inc., United States
AASP-P2.12: IMPROVED LOUDSPEAKER–ROOM EQUALIZATION USING MULTIPLE LOUDSPEAKERS AND MIMO FEEDFORWARD CONTROL
Lars-Johan Brännmark, Adrian Bahne, Anders Ahlén, Uppsala University, Sweden
AASP-P3.1: BINAURAL SPEECH SEGREGATION BASED ON PITCH AND AZIMUTH TRACKING
John Woodruff, DeLiang Wang, The Ohio State University, United States
AASP-P3.2: INTRODUCTION OF SPEECH LOG-SPECTRAL PRIORS INTO DEREVERBERATION BASED ON ITAKURA-SAITO DISTANCE MINIMIZATION
Yasuaki Iwata, Nagoya University, Japan; Tomohiro Nakatani, NTT Corporation, Japan
AASP-P3.3: ON LINEAR AND MIXMAX INTERACTION MODELS FOR SINGLE CHANNEL SOURCE SEPARATION
Robert Peharz, Franz Pernkopf, Graz University of Technology, Austria
AASP-P3.4: A VARIATIONAL BAYES APPROACH TO THE UNDERDETERMINED BLIND SOURCE SEPARATION WITH AUTOMATIC DETERMINATION OF THE NUMBER OF SOURCES
Jalil Taghia, Nasser Mohammadiha, Arne Leijon, Royal Institute of Technology, Sweden
AASP-P3.5: INTEGRATING MULTIPLE OBSERVATIONS FOR MODEL-BASED SINGLE-MICROPHONE SPEECH SEPARATION WITH CONDITIONAL RANDOM FIELDS
Yu Ting Yeung, Tan Lee, The Chinese University of Hong Kong, Hong Kong SAR of China; Cheung-Chi Leung, A*STAR, Singapore
AASP-P3.6: EFFICIENT ALGORITHMS FOR MULTICHANNEL EXTENSIONS OF ITAKURA-SAITO NONNEGATIVE MATRIX FACTORIZATION
Hiroshi Sawada, Hirokazu Kameoka, Shoko Araki, Naonori Ueda, NTT Corporation, Japan
AASP-P3.7: SPARSE VECTOR FACTORIZATION FOR UNDERDETERMINED BSS USING WRAPPED-PHASE GMM AND SOURCE LOG-SPECTRAL PRIOR
Shoko Araki, Tomohiro Nakatani, NTT Communication Science Laboratories, Japan
AASP-P3.8: NEW ANALYTICAL UPDATE RULE FOR TDOA INFERENCE FOR UNDERDETERMINED BSS IN NOISY ENVIRONMENTS
Takuro Maruyama, University of Tsukuba, Japan; Shoko Araki, Tomohiro Nakatani, NTT Corporation, Japan; Shigeki Miyabe, Takeshi Yamada, Shoji Makino, University of Tsukuba, Japan; Atsushi Nakamura, NTT Corporation, Japan
AASP-P3.9: A GENERAL VARIATIONAL BAYESIAN FRAMEWORK FOR ROBUST FEATURE EXTRACTION IN MULTISOURCE RECORDINGS
Kamil Adiloglu, Emmanuel Vincent, INRIA, France
AASP-P3.10: A TIKHONOV REGULARIZATION METHOD FOR SPECTRUM DECOMPOSITION IN LOW LATENCY AUDIO SOURCE SEPARATION
Ricard Marxer, Jordi Janer, Universitat Pompeu Fabra, Spain
AASP-P3.11: COMBINING A HARMONIC-BASED NMF DECOMPOSITION WITH TRANSIENT ANALYSIS FOR INSTANTANEOUS PERCUSSION SEPARATION
Jordi Janer, Ricard Marxer, Universitat Pompeu Fabra, Spain; Keita Arimoto, Yamaha Corporation, Japan
AASP-P3.12: EFFECT OF FREQUENCY OVERSAMPLING AND CASCADE INITIALIZATION ON PERMUTATION CONTROL IN FREQUENCY DOMAIN BSS
Christopher Osterwise, Steven Grant, Missouri University of Science and Technology, United States
AASP-P4.1: SPARSE POWER SPECTRUM BASED ROBUST VOICE ACTIVITY DETECTOR
Datao You, Jiqing Han, Guibin Zheng, Tieran Zheng, Harbin Institute of Technology, China
AASP-P4.2: INTERPOLATE TO ENHANCE FOR NONSTATIONARY SIGNAL PROCESSING
Mahdi Triki, Philips Research, Netherlands
AASP-P4.3: ON THE APPLICATION OF REVERBERATION SUPPRESSION TO ROBUST SPEECH RECOGNITION
Roland Maas, University of Erlangen-Nuremberg, Germany; Emanüel A. P. Habets, International Audio Laboratories Erlangen, Germany; Armin Sehr, Walter Kellermann, University of Erlangen-Nuremberg, Germany
AASP-P4.4: ADAPTATION MODE CONTROL WITH RESIDUAL NOISE ESTIMATION FOR BEAMFORMER-BASED MULTI-CHANNEL SPEECH ENHANCEMENT
Seon Man Kim, Hong Kook Kim, Gwangju Institute of Science and Technology (GIST), Republic of Korea; Sung Joo Lee, Yun Keun Lee, Electronics and Telecommunications Research Institute, Republic of Korea
AASP-P4.5: MULTI-MICROPHONE NOISE REDUCTION USING INTERCHANNEL AND INTERFRAME CORRELATIONS
Emanüel A. P. Habets, International Audio Laboratories Erlangen, Germany; Jacob Benesty, INRS-EMT, University of Quebec, Canada; Jingdong Chen, Northwestern Polytechnical University, China
AASP-P4.6: SIGNAL-TO-REVERBERANT RATIO ESTIMATION BASED ON THE COMPLEX SPATIAL COHERENCE BETWEEN OMNIDIRECTIONAL MICROPHONES
Oliver Thiergart, Giovanni Del Galdo, Emanüel A. P. Habets, International Audio Laboratories Erlangen, Germany
AASP-P4.7: A MULTICHANNEL WIDELY LINEAR APPROACH TO BINAURAL NOISE REDUCTION USING AN ARRAY OF MICROPHONES
Jacob Benesty, INRS-EMT, University of Quebec, Canada; Jingdong Chen, Northwestern Polytechnical University, China
AASP-P4.8: AUXILIARY NOISE POWER SCHEDULING FOR ON-LINE SECONDARY PATH MODELING IN SINGLE CHANNEL FEEDFORWARD ACTIVE NOISE CONTROL SYSTEMS
Shakeel Ahmed, Akihisa Oishi, Muhammad Tahir Akhtar, Wataru Mitsuhashi, The University of Electro-Communications,, Japan
AASP-P4.9: PSYCHOACOUSTIC HYBRID ACTIVE NOISE CONTROL SYSTEM
Tongwei Wang, Woon-Seng Gan, Yong Kim Chong, Nanyang Technological University, Singapore
AASP-P4.10: EXTENDING THE AREA SILENCED BY ACTIVE NOISE CONTROL USING MULTIPLE LOUDSPEAKERS
Annea Barkefors, Simon Berthilsson, Mikael Sternad, Uppsala University, Sweden
AASP-P4.11: A HYBRID COHERENT-INCOHERENT METHOD OF MODULATION FILTERING FOR SINGLE CHANNEL SPEECH SEPARATION
Azar Mahmoodzadeh, Yazd University, Iran; Hamid Sheikhzadeh, Amirkabir University of Technology, Iran; Hamid Reza Abutalebi, Yazd University, Iran; Hamid Soltanian-Zadeh, University of Tehran, Iran
AASP-P5.1: SEMI-SUPERVISED LEARNING HELPS IN SOUND EVENT CLASSIFICATION
Zixing Zhang, Björn Schuller, Technische Universität München, Germany
AASP-P5.2: ON THE CONSTRUCTION OF WINDOW FUNCTIONS WITH CONSTANT-OVERLAP-ADD CONSTRAINT FOR ARBITRARY WINDOW SHIFTS
Christian Borß, Fraunhofer Institute for Integrated Circuits IIS, Germany; Rainer Martin, Ruhr-Universität Bochum, Germany
AASP-P5.3: AUTOMATIC RECOGNITION OF EMOTION EVOKED BY GENERAL SOUND EVENTS
Björn Schuller, Simone Hantke, Felix Weninger, Wenjing Han, Zixing Zhang, Technische Universität München, Germany; Shrikanth Narayanan, University of Southern California, United States
AASP-P5.4: A METHOD FOR LOW-DELAY PITCH TRACKING AND SMOOTHING
Mads Græsbøll Christensen, Aalborg University, Denmark
AASP-P5.5: OPTIMAL SIGNAL RECONSTRUCTION FROM A CONSTANT-Q SPECTRUM
Anil Nagathil, Rainer Martin, Ruhr-Universität Bochum, Germany
AASP-P5.6: A DIGITAL WAVEGUIDE MODEL OF THE ELECTRIC BASS GUITAR INCLUDING DIFFERENT PLAYING TECHNIQUES
Patrick Kramer, Jakob Abesser, Christian Dittmar, Gerald Schuller, Fraunhofer Institute for Digital Media Technology, Germany
AASP-P5.7: AUTOMATIC CLASSIFICATION OF AUDIO DATA USING NONLINEAR NEURAL RESPONSE MODELS
Jörg-Hendrik Bach, Arne-Freerk Meyer, University of Oldenburg, Germany; Duncan McElfresh, Colorado School of Mines, United States; Jörn Anemüller, University of Oldenburg, Germany
AASP-P5.8: GENETIC MOTIF DISCOVERY APPLIED TO AUDIO ANALYSIS
Juan José Burred, Audionamix, France
AASP-P5.9: FURTHER INVESTIGATIONS ON EMG-TO-SPEECH CONVERSION
Matthias Janke, Michael Wand, Keigo Nakamura, Tanja Schultz, Karlsruhe Institute of Technology, Germany
AASP-P5.10: A UNIFIED VIEW OF NON-STATIONARY SINUSOIDAL PARAMETER ESTIMATION METHODS USING SIGNAL DERIVATIVES
Brian Hamilton, Philippe Depalle, McGill University, Canada
AASP-P5.11: SAMPLE-BASED ENGINE NOISE SYNTHESIS USING A HARMONIC SYNCHRONOUS OVERLAP-AND-ADD METHOD
Jan Jagla, Julien Maillard, CSTB, France; Nadine Martin, Grenoble Institute of Technology / CNRS, France
AASP-P6.1: ANALYSIS OF 2D SOUND REPRODUCTION WITH FIXED-DIRECTIVITY LOUDSPEAKERS
Mark Poletti, Terence Betlehem, Industrial Research Ltd, New Zealand; Thushara D. Abhayapala, Australian National University, Australia
AASP-P6.2: DESIGN OF TRANSFORM FILTER FOR REPRODUCING ARBITRARILY SHIFTED SOUND FIELD USING PHASE-SHIFT OF SPATIO-TEMPORAL FREQUENCY
Shoichi Koyama, Ken'ichi Furuya, Yusuke Hiwasaki, Yoichi Haneda, NTT Corporation, Japan
AASP-P6.3: A FREQUENCY-DOMAIN ALGORITHM TO UPSCALE AMBISONIC SOUND SCENES
Andrew Wabnitz, Nicolas Epain, Craig Jin, University of Sydney, Australia
AASP-P6.4: TUNING PRINCIPAL COMPONENT WEIGHTS TO INDIVIDUALIZE HRTFS
Kimberly Fink, Laura Ray, Darmouth College, United States
AASP-P6.5: EFFICIENT CROSSTALK CANCELER DESIGN WITH IMPULSE RESPONSE SHORTENING FILTERS
Terence Betlehem, Industrial Research Ltd, New Zealand; Paul Teal, Victoria University of Wellington, New Zealand; Yusuke Hioka, NTT Corporation, Japan
AASP-P6.6: DYNAMIC STRATEGY FOR WINDOW SPLITTING, PARAMETERS ESTIMATION AND INTERPOLATION IN SPATIAL PARAMETRIC AUDIO CODERS
Julien Capobianco, Gregory Pallone, France Telecom Orange Labs, France; Laurent Daudet, Institut Langevin and Paris Diderot University, France
AASP-P6.7: ESTIMATING SOUND SOURCE DEPTH USING A SMALL-SIZE ARRAY
Satoshi Esaki, Nagoya University, Japan; Kenta Niwa, NTT Cyber Space Laboratories, Japan; Takanori Nishino, Mie University, Japan; Kazuya Takeda, Nagoya University, Japan
AASP-P6.8: ENCODING NAVIGABLE SPEECH SOURCES: AN ANALYSIS BY SYNTHESIS APPROACH
Xiguang Zheng, Christian Ritz, Jiangtao Xi, University of Wollongong, Australia
AASP-P6.9: MULTI-CHANNEL MAXIMUM LIKELIHOOD PITCH ESTIMATION
Mads Græsbøll Christensen, Aalborg University, Denmark
AASP-P6.10: AUDIO CODING WITH POWER SPECTRAL DENSITY PRESERVING QUANTIZATION
Minyue Li, Janusz Klejsa, KTH Royal Institute of Technology, Sweden; Alexey Ozerov, Technicolor, France; W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand
AASP-P6.11: BIDIRECTIONAL CASCADED LONG TERM PREDICTION FOR FRAME LOSS CONCEALMENT IN POLYPHONIC AUDIO SIGNALS
Tejaswi Nanjundaswamy, Kenneth Rose, University of California at Santa Barbara, United States
AASP-P7.1: MUSIC TEMPO ESTIMATION AND BEAT TRACKING BY APPLYING SOURCE SEPARATION AND METRICAL RELATIONS
Aggelos Gkiokas, Vassilis Katsouros, Institute for Language and Speech Processing/R.C., Greece; George Carayannis, National Technical University of Athens, Greece; Themos Stafylakis, Institute for Language and Speech Processing/R.C., Greece
AASP-P7.2: INITIALIZATION-ROBUST MULTIPITCH ESTIMATION BASED ON LATENT HARMONIC ALLOCATION USING OVERTONE CORPUS
Daichi Sakaue, Katsutoshi Itoyama, Tetsuya Ogata, Hiroshi G. Okuno, Kyoto University, Japan
AASP-P7.3: GENERALIZED F0 MODELLING WITH ABSOLUTE AND RELATIVE PITCH FEATURES FOR SINGING VOICE SYNTHESIS
Siu Wa Lee, Institute for Infocomm Research, Singapore; Shen Ting Ang, University of Warwick, United Kingdom; Minghui Dong, Haizhou Li, Institute for Infocomm Research, Singapore
AASP-P7.4: INSTRUMENTATION-BASED MUSIC SIMILARITY USING SPARSE REPRESENTATIONS
Hiromasa Fujihara, Anssi Klapuri, Mark D. Plumbley, Queen Mary University of London, United Kingdom
AASP-P7.5: SINGER VERIFICATION : SINGER MODEL .VS. SONG MODEL
Lise Regnier, Geoffroy Peeters, IRCAM, France
AASP-P7.6: STRUCTURED SPARSITY FOR AUTOMATIC MUSIC TRANSCRIPTION
Ken O'Hanlon, Hidehisa Nagano, Mark D. Plumbley, Queen Mary University of London, United Kingdom
AASP-P7.7: A PROBABILISTIC APPROACH TO SIMULTANEOUS EXTRACTION OF BEATS AND DOWNBEATS
Maksim Khadkevich, Fondazione Bruno Kessler - irst, Italy; Thomas Fillon, Gaël Richard, Télécom ParisTech, France; Maurizio Omologo, Fondazione Bruno Kessler - irst, Italy
AASP-P7.8: CHORD RECOGNITION USING DOUBLY NESTED CIRCLE OF FIFTHS
Aiko Uemura, Jiro Katto, Waseda University, Japan
AASP-P7.9: LEARNING A ROBUST TONNETZ-SPACE TRANSFORM FOR AUTOMATIC CHORD RECOGNITION
Eric Humphrey, Taemin Cho, Juan Bello, New York University, United States
AASP-P7.10: A HYBRID APPROACH TO SINGING PITCH EXTRACTION BASED ON TREND ESTIMATION AND HIDDEN MARKOV MODELS
Tzu-Chun Yeh, Ming-Ju Wu, Jyh-Shing Roger Jang, National Tsing Hua University, Taiwan; Wei-Lun Chang, I-Bin Liao, Chunghwa Telecom, Taiwan
AASP-P7.11: BAYESIAN NONPARAMETRIC MUSIC PARSER
Masahiro Nakano, Yasunori Ohishi, Hirokazu Kameoka, Ryo Mukai, Kunio Kashino, NTT Communication Science Laboratories, Japan
AASP-P7.12: COMPARATIVE EVALUATIONS OF VARIOUS HARMONIC/PERCUSSIVE SOUND SEPARATION ALGORITHMS BASED ON ANISOTROPIC CONTINUITY OF SPECTROGRAM
Hideyuki Tachibana, Hirokazu Kameoka, The University of Tokyo, Japan; Nobutaka Ono, National Institute of Informatics, Japan; Shigeki Sagayama, The University of Tokyo, Japan
AASP-P8.1: WAVE-DIGITAL POLARITY AND CURRENT INVERTERS AND THEIR APPLICATION TO VIRTUAL ANALOG AUDIO PROCESSING
Stefano D'Angelo, Vesa Välimäki, Aalto University School of Electrical Engineering, Finland
AASP-P8.2: TOWARD CHARACTERISTIC AUDIO SHINGLES FOR EFFICIENT CROSS-VERSION MUSIC RETRIEVAL
Peter Grosche, Meinard Mueller, Saarland University and MPI Informatik, Germany
AASP-P8.3: ACCELERATING QUERY BY SINGING/HUMMING ON GPU: OPTIMIZATION FOR WEB DEPLOYMENT
Chung-Che Wang, Chieh-Hsing Chen, Chin-Yang Kuo, Li-Ting Chiu, Jyh-Shing Roger Jang, National Tsing Hua University, Taiwan
AASP-P8.4: AUDIO-BASED AUTOMATIC DETECTION OF OBJECTIONABLE CONTENTS IN NOISY CONDITIONS USING NORMALIZED SEGMENTAL TWO-DIMESIONAL MFCC
Bong-Wan Kim, Dae-Lim Choi, Wonkwang University, Republic of Korea; JaeDeok Lim, SeungWan Han, Electronics and Telecommunications Research Institute, Republic of Korea; Yong-Ju Lee, Wonkwang University, Republic of Korea
AASP-P8.5: SPEAKER INDEPENDENT DISCRIMINANT FEATURE EXTRACTION FOR ACOUSTIC PATTERN-MATCHING
Xavier Anguera, Telefonica Research, Spain
AASP-P8.6: AUDIO EVENT DETECTION FROM ACOUSTIC UNIT OCCURRENCE PATTERNS
Anurag Kumar, Pranay Dighe, Indian Institute of Technology, India; Rita Singh, Sourish Chaudhuri, Bhiksha Raj, Carnegie Mellon University, United States
AASP-P8.7: IMPROVED AUDIO EVENT DETECTION BY USE OF CONTEXTUAL NOISE
Qiang Huang, Stephen Cox, University of East Anglia, United Kingdom
AASP-P8.8: AUTOMATIC MUSIC TAGGING BY LOW-RANK REPRESENTATION
Yannis Panagakis, Constantine Kotropoulos, Aristotle University of Thessaloniki, Greece
AASP-P8.9: SPECTROGRAM BASED FEATURES SELECTION USING MULTIPLE KERNEL LEARNING FOR SPEECH/MUSIC DISCRIMINATION
Sharmin Nilufar, Nilanjan Ray, Md. Khademul Islam Molla, University of Alberta, Canada; Keikichi Hirose, University of Tokyo, Japan
AASP-P8.10: HOW TO PUT IT INTO WORDS -- USING RANDOM FORESTS TO EXTRACT SYMBOL LEVEL DESCRIPTIONS FROM AUDIO CONTENT FOR CONCEPT DETECTION
Po-Sen Huang, University of Illinois at Urbana-Champaign, United States; Robert Mertens, International Computer Science Institute, Berkeley, United States; Ajay Divakaran, SRI International Sarnoff, United States; Gerald Friedland, International Computer Science Institute, Berkeley, United States; Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States
AASP-P8.11: SPARSE REPRESENTATION-BASED EXTRACTION OF PULMONARY SOUND COMPONENTS FROM LOW-QUALITY AUSCULTATION SIGNALS
Tomoya Sakai, Haruka Satomoto, Senya Kiyasu, Sueharu Miyahara, Nagasaki University, Japan
AASP-P9.1: 3D ROOM GEOMETRY ESTIMATION FROM MEASURED IMPULSE RESPONSES
Sakari Tervo, Timo Tossavainen, Aalto University School of Science, Finland
AASP-P9.2: PERFECT-SWEEP NLMS FOR TIME-VARIANT ACOUSTIC SYSTEM IDENTIFICATION
Christiane Antweiler, Aulis Telle, Peter Vary, RWTH Aachen University, Germany; Gerald Enzner, Ruhr-Universität Bochum, Germany
AASP-P9.3: AN INSIGHT INTO COMMON FILTERING IN NOISY SIMO BLIND SYSTEM IDENTIFICATION
Mark Thomas, Microsoft Research, United States; Nikolay D. Gaubitch, Imperial College London, United Kingdom; Emanüel A. P. Habets, International Audio Laboratories Erlangen, Germany; Patrick A. Naylor, Imperial College London, United Kingdom
AASP-P9.4: SYSTEM IDENTIFICATION FOR LISTENING-ROOM COMPENSATION BY MEANS OF ACOUSTIC ECHO CANCELLATION AND ACOUSTIC ECHO SUPPRESSION FILTERS
Feifei Xiong, Jens-E Appell, Stefan Goetze, Fraunhofer Institute for Digital Media Technology, Germany
AASP-P9.5: A SPATIO-TEMPORAL GENERALIZED FOURIER DOMAIN FRAMEWORK TO ACOUSTIC MODELING IN ENCLOSED SPACES
Jorge Martinez, Richard Heusdens, Richard C. Hendriks, Delft University of Technology, Netherlands
AASP-P9.6: MULTI-CHANNEL LOW-FREQUENCY ROOM EQUALIZATION USING PERCEPTUALLY MOTIVATED CONSTRAINED OPTIMIZATION
Mihailo Kolundzija, Christof Faller, Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland
AASP-P9.7: ROBUST PARTIAL MULTICHANNEL EQUALIZATION TECHNIQUES FOR SPEECH DEREVERBERATION
Ina Kodrasi, Simon Doclo, University of Oldenburg, Germany
AASP-P9.8: SUPERVISED SYSTEM IDENTIFICATION BASED ON LOCAL PCA MODELS
Tomer Koren, Ronen Talmon, Israel Cohen, Technion – Israel Institute of Technology, Israel
AASP-P9.9: EXTRACTION OF SOUND FIELD INFORMATION FROM FLOWING DUST CAPTURED WITH HIGH-SPEED CAMERA
Mariko Akutsu, Yasuhiro Oikawa, Waseda University, Japan
AASP-P9.10: NON-IMPULSIVE SIGNAL DECONVOLUTION FOR COMPUTATION OF VIOLIN IMPULSE RESPONSES
Andrés Bucci, Alfonso Pérez, Jordi Bonada, Universitat Pompeu Fabra, Spain
BISP-L1.1: AN ITERATIVE ALGORITHM FOR PHASE RETRIEVAL WITH SPARSITY CONSTRAINTS: APPLICATION TO FREQUENCY DOMAIN OPTICAL COHERENCE TOMOGRAPHY
Subhadip Mukherjee, Chandra Sekhar Seelamantula, Indian Institute of Science, Bangalore, India
BISP-L1.2: A VARIATIONAL APPROACH FOR OPTIMIZING QUADRATIC MUTUAL INFORMATION FOR MEDICAL IMAGE REGISTRATION
Abhishek Singh, University of Illinois at Urbana-Champaign, United States; Ying Zhu, Christophe Chefd'hotel, Siemens Corporate Research, United States
BISP-L1.3: CONSTRAINED TOTAL VARIATION MINIMIZATION FOR PHOTOACOUSTIC TOMOGRAPHY
S.M. Akramus Salehin, Thushara D. Abhayapala, Australian National University, Australia
BISP-L1.4: LIVER SEGMENTATION USING STRUCTURED SPARSE REPRESENTATIONS
Vimal Singh, Dan Wang, Ahmed Tewfik, The University of Texas at Austin, United States; Bradley Erickson, Mayo Clinic, United States
BISP-L1.5: CLUSTER IMPURITY AND FORWARD-BACKWARD ERROR MAXIMIZATION-BASED ACTIVE LEARNING FOR EEG SIGNALS CLASSIFICATION
Huijuan Yang, Cuntai Guan, Kai Keng Ang, Yaozhang Pan, Haihong Zhang, Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore
BISP-L2.1: INCORPORATING ANATOMICAL CONNECTIVITY INTO EEG SOURCE ESTIMATION VIA SPARSE APPROXIMATION WITH CORTICAL GRAPH WAVELETS
David Hammond, University of Oregon, United States; Benoit Scherrer, Children's Hospital, United States; Allen Malony, University of Oregon, United States
BISP-L2.2: EEG SPATIAL DECODING WITH SHRINKAGE OPTIMIZED DIRECTED INFORMATION ASSESSMENT
Xu Chen, Zeeshan Syed, Alfred O. Hero III, University of Michigan at Ann Arbor, United States
BISP-L2.3: TENSOR CLASSIFICATION FOR P300-BASED BRAIN COMPUTER INTERFACE
Akinari Onishi, Anh Huy Phan, Brain Science Institute, Japan; Kiyotoshi Matsuoka, Kyushu Institute of Technology, Graduate School of Life Science and System Engineering, Japan; Andrzej Cichocki, Brain Science Institute, Japan
BISP-L2.4: SPIKE SORTING AT SUB-NYQUIST RATES
Jose Caballero, Jose Antonio Uriguen, Simon R Schultz, Pier Luigi Dragotti, Imperial College London, United Kingdom
BISP-L2.5: FAST EMOTION DETECTION FROM EEG USING ASYMMETRIC SPATIAL FILTERING
Dong Huang, Haihong Zhang, Kai Keng Ang, Cuntai Guan, Yaozhang Pan, Chuanchu Wang, Juanhong Yu, I2R, Singapore
BISP-P1.1: SNAKE BASED AUTOMATIC TRACING OF VOCAL-FOLD MOTION FROM HIGH-SPEED DIGITAL IMAGES
Yuling Yan, Gan Du, Santa Clara University, United States; Chi Zhu, Maebashi Institute of Technology, Japan; Gerard Marriott, University of California at Berkeley, United States
BISP-P1.2: LOG-FREQUENCY SPECTROGRAM FOR RESPIRATORY SOUND MONITORING
Jin Feng, Ryerson University, Canada; Farook Sattar, University of Waterloo, Canada; Sridhar Krishnan, Ryerson University, Canada
BISP-P1.3: NONNEGATIVE MATRIX FACTORIZATION FOR NONINVASIVE PREDICTION OF CATHETER ABLATION OUTCOME IN PERSISTENT ATRIAL FIBRILLATION
Marianna Meo, Vicente Zarzoso, Olivier Meste, Laboratoire d’Informatique, Signaux et Systèmes de Sophia Antipolis, France; Decebal Gabriel Latcu, Nadir Saoudi, Service de Cardiologie, Centre Hospitalier Princesse Grace, France
BISP-P1.4: A NEW TIME DOMAIN CONVOLUTIVE BSS OF HEART AND LUNG SOUNDS
Bahador Makki Abadi, University of Surrey, United Kingdom; Delaram Jarchi, Imperial College London, United Kingdom; Saeid Sanei, University of Surrey, United Kingdom
BISP-P1.5: AUTOMATIC CLASSIFICATION OF ORAL/NASAL SNORING SOUNDS BASED ON THE ACOUSTIC PROPERTIES
Tsuyoshi Mikami, Yohichiro Kojima, Tomakomai College of Technology, Japan; Masahito Yamamoto, Masashi Furukawa, Hokkaido University, Japan
BISP-P1.6: GAIT QUALITY EVALUATION METHOD FOR POST-STROKE PATIENTS
Xiaoyu Xu, Maxim Batalin, Yan Wang, William Kaiser, University of California at Los Angeles, United States
BISP-P1.7: EFFICIENT GAUSSIAN INFERENCE ALGORITHMS FOR PHASE IMAGING
Jingshan Zhong, Justin Dauwels, Nanyang Technological University, Singapore; Manuel Vazquez, Universidad Carlos III de Madrid, Spain; Laura Waller, Princeton University, United States
BISP-P1.8: MULTIMODAL FEATURE ANALYSIS FOR QUANTITATIVE PERFORMANCE EVALUATION OF ENDOTRACHEAL INTUBATION (ETI)
Samarjit Das, Carnegie Mellon University, United States; Jestin N Carlson, University of Pittsburgh, United States; Fernando de la Torre, Carnegie Mellon University, United States; Paul E Phrampus, University of Pittsburgh, United States; Jessica Hodgins, Carnegie Mellon University, United States
BISP-P1.9: A MULTI-LEAD ECG CLASSIFICATION BASED ON RANDOM PROJECTION FEATURES
Iva Bogdanova, Francisco Rincon, David Atienza, École Polytechnique Fédérale de Lausanne, Switzerland
BISP-P1.10: CLASSIFICATION OF FETAL HEART RATE SERIES
Shishir Dash, Stony Brook University, United States; Jolene Muscat, J Quirk, Stony Brook University Hospital, United States; Petar Djuric, Stony Brook University, United States
BISP-P1.11: PATIENT-VENTILATOR ASYNCHRONY: AUTOMATIC DETECTION OF AUTOPEEP
Quang-Thang Nguyen, Dominique Pastor, Institut TELECOM / TELECOM Bretagne, France; Erwan L'Her, CHU de Brest, France
BISP-P2.2: MULTI-CHANNEL EEG COMPRESSION BASED ON 3D DECOMPOSITIONS
Justin Dauwels, Nanyang Technological University, Singapore; Srinivasan Kannan, Ramasubba Reddy, Indian Institute of Technology, Madras, India; Andrzej Cichocki, RIKEN Brain Science Institute, Japan
BISP-P2.3: CLASSIFICATION OF BRAIN STATES USING PRINCIPAL COMPONENTS ANALYSIS OF CORTICAL EEG SYNCHRONIZATION AND HMM
Aurobinda Routray, Sibsambhu Kar, IIT Kharagpur, India
BISP-P2.4: RSVP KEYBOARD: AN EEG BASED TYPING INTERFACE
Umut Orhan, Northeastern University, United States; Kenneth E. Hild II, Oregon Health and Science University, United States; Deniz Erdogmus, Northeastern University, United States; Brian Roark, Barry Oken, Melanie Fried-Oken, Oregon Health and Science University, United States
BISP-P2.5: AUTOMATIC EEG ARTIFACT REMOVAL BASED ON ICA AND HIERARICAL CLUSTERING
Yuan Zou, John Hart, Roozbeh Jafari, The University of Texas at Dallas, United States
BISP-P2.6: MULTIVARIATE EMD BASED APPROACH TO EOG ARTIFACTS SEPARATION FROM EEG
Md. Khademul Islam Molla, University of Alberta, Canada; Toshihisa Tanaka, TUAT, Japan; Tomasz M. Rutkowski, University of Tsukuba, Japan
BISP-P2.7: MDL-BASED JOINT DENOISING AND COMPRESSION OF INTRACORTICAL SIGNALS
Elias S. G. Carotti, Politecnico di Torino, Italy; Winnie Jensen, Aalborg University, Denmark; Juan Carlos De Martin, Politecnico di Torino, Italy; Dario Farina, University Medical Center Göttingen / Georg-August University, Germany
BISP-P2.8: ECG REMOVAL IN PRETERM EEG COMBINING EMPIRICAL MODE DECOMPOSITION AND ADAPTIVE FILTERING
Xavier Navarro, Fabienne Porée, Guy Carrault, Université de Rennes 1 - INSERM U642, France
BISP-P2.9: PERIODICITY DETECTION FOR BCI BASED ON PERIODIC CODE MODULATION VISUAL EVOKED POTENTIALS
Masaki Nakanishi, Yasue Mitsukura, Keio University, Japan
BISP-P2.10: A TIME-VARYING GAUSSIAN MODEL FOR THE COMPLEX-VALUED EEG SPECTRUM DURING MENTAL IMAGERY TASKS
Amirhossein S. Aghaei, Konstantinos N. Plataniotis, Subbarayan Pasupathy, University of Toronto, Canada
BISP-P2.11: PARTIAL MUTUAL INFORMATION FOR SIMPLE MODEL ORDER DETERMINATION IN MULTIVARIATE EEG SIGNALS AND ITS APPLICATION TO TRANSFER ENTROPY
Jie Zhu, southeast university, China; Régine Le Bouquin Jeannès, Chunfeng Yang, Jean-Jacques Bellanger, Universite de Rennes 1 - IRISA, France; Huazhong Shu, southeast university, China
BISP-P3.1: COMPRESSED SENSING USING FREBAS TRANSFORM IN MAGNETIC RESONANCE PHASE SCRAMBLING FOURIER TRANSFORM TECHNIQUE
Satoshi Ito, Hirotoshi Arai, Yoshifumi Yamada, Utsunomiya University, Japan
BISP-P3.2: A UNIFIED APPROACH FOR OPTIMIZATION OF SNAKUSCULES AND OVUSCULES
Adithya Kumar Pediredla, Chandra Sekhar Seelamantula, Indian Institute of Science, India
BISP-P3.3: MELANOMA CLASSIFICATION FROM HIDDEN MARKOV TREE FEATURES
Marco Duarte, University of Massachusetts Amherst, United States; Thomas Matthews, Warren Warren, Robert Calderbank, Duke University, United States
BISP-P3.4: MODELING AND REMOVING DEPTH VARIANT BLUR IN 3D FLUORESCENCE MICROSCOPY
Saima Ben Hadj, Laure Blanc-Féraud, I3S Sophia Antipolis, France
BISP-P3.5: NON-RIGID POINT SET REGISTRATION: A BIDIRECTIONAL APPROACH
Qiang Sang, Jianzhou Zhang, Sichuan University, United States; Zeyun Yu, University of Wisconsin - Milwaukee, United States
BISP-P3.6: ESTIMATION OF RELAXATION TIME DISTRIBUTIONS IN MAGNETIC RESONANCE IMAGING
Kelvin Layton, Leigh Johnston, Peter Farrell, Bill Moran, Mark Morelande, University of Melbourne, Australia
BISP-P3.7: A NEW SHAPE ANALYSIS FRAMEWORK BASED ON CURVE SKELETONS
Shuisheng Xie, Jundong Liu, Ohio University, United States; Charles Smith, University of Kentucky, United States
BISP-P3.8: UNSUPERVISED WRINKLE DETECTION IN REFLECTANCE CONFOCAL MICROSCOPY IMAGES OF THE HUMAN SKIN
Jamshid Sourati, Dana Brooks, Jennifer Dy, Esra Ataer-Cansizoglu, Deniz Erdogmus, Northeastern University, United States; Milind Rajadhyaksha, Memorial Sloan-Kettering Cancer Center, United States
BISP-P3.9: AN AUTOMATIC TRACKING METHOD FOR RETINAL VASCULAR TREE EXTRACTION
Yi Yin, Mouloud Adel, Salah Bourennane, Institut fresnel, France
BISP-P3.10: SLOPE DETECTOR FOR DETERMINATION OF THE RINGING ARTIFACT IN FILTERING X-RAY IMAGES
Dong Sik Kim, Hankuk University of Foreign Studies, Republic of Korea; Sanggyun Lee, DRTECH Co., Republic of Korea
BISP-P3.11: CARTOON-LIKE IMAGE RECONSTRUCTION VIA CONSTRAINED L-P-MINIMIZATION
Simon Hawe, Martin Kleinsteuber, Klaus Diepold, Technische Universität München, Germany
BISP-P4.2: REGULARIZATION USING GEOMETRIC INFORMATION BETWEEN SENSORS CAPTURING FEATURES FROM BRAIN SIGNALS
Hiroshi Higashi, Tokyo University of Agriculture and Technology, Japan; Andrzej Cichocki, RIKEN Brain Science Institute, Japan; Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan
BISP-P4.3: INFERRING GENE REGULATORY NETWORKS WITH NONLINEAR MODELS VIA EXPLOITING SPARSITY
Amina Noor, Erchin Serpedin, Texas A&M University, United States; Mohamed Nounou, Hazem Nounou, Texas A&M University at Qatar, Qatar
BISP-P4.4: STRUCTURAL INTERVENTION OF GENE REGULATORY NETWORKS BY GENERAL RANK-K MATRIX PERTURBATION
Xiaoning Qian, University of South Florida, United States; Byung-Jun Yoon, Edward Dougherty, Texas A&M University, United States
BISP-P4.5: AN ALGORITHM FOR MEASURING PTERYGIUM´S PROGRESS IN ALREADY DIAGNOSED EYES
Rafael Mesquita, Elliackin Figueiredo, Federal University of Pernambuco, Brazil
BISP-P4.6: MODEL CENTROIDS FOR THE SIMPLIFICATION OF KERNEL DENSITY ESTIMATORS
Olivier Schwander, École Polytechnique, France; Frank Nielsen, Sony Computer Science Laboratories Inc., France
BISP-P4.7: LEFT VENTRICLE MASS EXTRACTION UTILIZING A MULTI-STEP PROBABILISTIC APPROACH
Mahdi Marsousi, Kaveh Abhari, Ryerson University, Canada; Alireza Ahmadian, Tehran University of Medical Science, Iran; Javad Alirezaie, Ryerson University, Canada
BISP-P4.8: ANALYZING DEPENDENCE STRUCTURE OF THE HUMAN BRAIN IN RESPONSE TO VISUAL STIMULI
Bilal Fadlallah, Sohan Seth, Andreas Keil, Jose Principe, University of Florida, United States
BISP-P4.9: TMS ARTIFACT REMOVAL FROM NEUROPHYSIOLICAL RECORDINGS USING A NOVEL ITERATIVE ADAPTIVE FILTERING
Milad Lankarany, Concordia University, Canada; Ajay Venkateswaran, McGill University and Montreal Neurological Institute, Canada; Wei Ping Zhu, M. N. S. Swamy, Concordia University, Canada; Amir Shmuel, McGill University and Montreal Neurological Institute, Canada
BISP-P4.10: ADAPTIVE PARAMETER SELECTION FOR ASYNCHRONOUS INTRAFASCICULAR MULTI-ELECTRODE STIMULATION
Mitchell A. Frankel, Gregory A. Clark, Sanford G. Meek, Richard A. Normann, V. John Mathews, The University of Utah, United States
BISP-P4.11: A LASSO BASED ENSEMBLE EMPIRICAL MODE DECOMPOSITION APPROACH TO DESIGNING ADAPTIVE CLUTTER SUPPRESSION FILTERS
Zhiyuan Shen, Chin-Hui Lee, Georgia Institute of Technology, United States
BISP-P4.12: A NEW MULTIPLE-KERNEL-LEARNING WEIGHTING METHOD FOR LOCALIZING HUMAN BRAIN MAGNETIC ACTIVITY
Tetsuya Takiguchi, Kobe University, Japan; Toshiaki Imada, University of Washington, United States; Ryoichi Takashima, Yasuo Ariki, Kobe University, Japan; Lotus Lin, Patricia Kuhl, University of Washington, United States; Masaki Kawakatsu, Makoto Kotani, Tokyo Denki University, Japan
IVMSP-L1.1: NEW LOCAL TONE MAPPING AND TWO-LAYER CODING FOR HDR IMAGES
Takao Jinno, Masahiro Okuda, The University of Kitakyushu, Japan; Nicola Adami, Brescia University, Italy
IVMSP-L1.2: PIXEL PREDICTION BY CONTEXT BASED REGRESSION
Lingyan Sheng, Antonio Ortega, University of Southern California, United States
IVMSP-L1.3: DIRECTION ALIGNMENT ALGORITHM FOR DIRECTION-ADAPTIVE DISCRETE WAVELET TRANSFORM
Chao-Hsiung Hung, Hsueh-Ming Hang, National Chiao Tung University, Taiwan
IVMSP-L1.4: EFFICIENT ANISOTROPIC WAVELET PACKET BASIS SELECTION IN JPEG2000
Thomas Stuetz, University of Nantes, Austria; Andreas Uhl, University of Salzburg, Austria
IVMSP-L1.5: HYBRID TEMPLATE AND BLOCK MATCHING ALGORITHM FOR IMAGE INTRA PREDICTION
Safa Cherigui, Technicolor Research and Innovation, France; Christine Guillemot, INRIA, France; Dominique Thoreau, Philippe Guillotel, Patrick Perez, Technicolor Research and Innovation, France
IVMSP-L1.6: NEIGHBOR EMBEDDING WITH NON-NEGATIVE MATRIX FACTORIZATION FOR IMAGE PREDICTION
Christine Guillemot, Mehmet Turkan, INRIA, France
IVMSP-L2.1: ORIENTED RADIAL DISTRIBUTION ON DEPTH DATA: APPLICATION TO THE DETECTION OF END-EFFECTORS
Xavier Suau, Javier Ruiz-Hidalgo, Josep R. Casas, Universitat Politècnica de Catalunya, Spain
IVMSP-L2.2: FROM LOCAL OCCLUSION CUES TO GLOBAL MONOCULAR DEPTH ESTIMATION
Guillem Palou, Philippe Salembier, Technical University of Catalonia, Spain
IVMSP-L2.3: JOINT DENOISING AND INTERPOLATION OF DEPTH MAPS FOR MS KINECT SENSORS
Simone Milani, Giancarlo Calvagno, University of Padova, Italy
IVMSP-L2.4: SINGLE CAMERA-BASED FULL DEPTH MAP ESTIMATION USING COLOR SHIFTING PROPERTY OF A MULTIPLE COLOR-FILTER APERTURE
Seungwon Lee, Junghyun Lee, Monson H. Hayes, Chung-Ang University, Republic of Korea; Aggelos K. Katsaggelos, Northwestern University, United States; Joonki Paik, Chung-Ang University, Republic of Korea
IVMSP-L2.5: A FOREGROUND BIASED DEPTH MAP REFINEMENT METHOD FOR DIBR VIEW SYNTHESIS
Xuyuan Xu, Lai-Man Po, City University of Hong Kong, Hong Kong SAR of China; Kwok-Wai Cheung, Chu Hai College of Higher Education, Hong Kong SAR of China; Ka-Ho Ng, Ka-Man Wong, Chi-Wang Ting, City University of Hong Kong, Hong Kong SAR of China
IVMSP-L2.6: SINGLE IMAGE DEPTH ESTIMATION FROM IMAGE DESCRIPTORS
Yu-Hsun Lin, National Taiwan University, Taiwan; Wen-Huang Cheng, Academia Sinica, Taiwan; Hsin Miao, Tsung-Hao Ku, National Taiwan University, Taiwan; Yung-Huan Hsieh, Academia Sinica, Taiwan
IVMSP-L3.1: GRAPH BASED TRANSFORMS FOR DEPTH VIDEO CODING
Woo-Shik Kim, Texas Instruments, Inc., United States; Sunil K. Narang, Antonio Ortega, University of Southern California, United States
IVMSP-L3.2: AN ESTIMATION-THEORETIC APPROACH TO SPATIALLY SCALABLE VIDEO CODING
Jingning Han, Vinay Melkote, Kenneth Rose, University of California at Santa Barbara, United States
IVMSP-L3.3: TEMPLATE MATCHING FOR IMAGE PREDICTION: A GAME-THEORETICAL APPROACH
W. Sabrina Lin, University of Maryland, United States; Yang Gao, Unviersity of Maryland, College Park, United States; K. J. Ray Liu, University of Maryland, United States
IVMSP-L3.4: ON FAST CODING TREE BLOCK AND MODE DECISION FOR HIGH-EFFICIENCY VIDEO CODING (HEVC)
Hui Li Tan, Institute for Infocomm Research, A*STAR, Singapore; Fengjiao Liu, Nanyang Technological University, Singapore; Yih Han Tan, Chuo Hao Yeo, Institute for Infocomm Research, A*STAR, Singapore
IVMSP-L3.5: IMPROVED TEMPORAL TEXTURE COMPRESSION USING CAMERA MOTION ESTIMATION
Aleksandar Stojanovic, Christian Müller, Moritz Knorr, RWTH Aachen University, Germany
IVMSP-L3.6: ON RATE DISTORTION OPTIMIZATION USING SSIM
Chuo Hao Yeo, Hui Li Tan, Yih Han Tan, Institute for Infocomm Research, Singapore
IVMSP-L4.1: REGION-ADAPTIVE TEXTURE-AWARE IMAGE RESIZING
Jiangyang Zhang, C.-C. Jay Kuo, University of Southern California, United States
IVMSP-L4.2: POSTERIOR MEAN SUPER-RESOLUTION WITH A COMPOUND GAUSSIAN MARKOV RANDOM FIELD PRIOR
Takayuki Katsuki, Masato Inoue, Waseda University, Japan
IVMSP-L4.3: SOFT ADAPTIVE GRADIENT ANGLE INTERPOLATION OF GRAYSCALE IMAGES
Christine Zwart, David Frakes, Arizona State University, United States
IVMSP-L4.4: SUPER RESOLUTION OF 3D MRI IMAGES USING A GAUSSIAN SCALE MIXTURE MODEL CONSTRAINT
Rafiqul Islam, Andrew J. Lambert, Mark R Pickering, The University of New South Wales at the Australian Defence Force Academy, Australia
IVMSP-L4.5: NONLOCAL BASED SUPER RESOLUTION WITH ROTATION INVARIANCE AND SEARCH WINDOW RELOCATION
Yue Zhuo, Beijing Normal University, China; Jiaying Liu, Jie Ren, Zongming Guo, Peking University, China
IVMSP-L4.6: SUPER-RESOLUTION FROM UNREGISTERED ALIASED IMAGES WITH UNKNOWN SCALINGS AND SHIFTS
Yigang Peng, Tsinghua University, China; Feng Yang, École Polytechnique Fédérale de Lausanne, Switzerland; Qionghai Dai, Wenli Xu, Tsinghua University, China; Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland
IVMSP-L5.1: ALPHA-DIVERGENCE MAXIMIZATION FOR STATISTICAL REGION-BASED ACTIVE CONTOUR SEGMENTATION WITH NON-PARAMETRIC PDF ESTIMATIONS
Leila Meziou, Aymeric Histace, ETIS-UMR 8051- CNRS/ ENSEA/Cergy-Pontoise University, France; Frédéric Precioso, I3S-UMR 6070 - CNRS/ Nice Sophia Antipolis University, France
IVMSP-L5.2: UPPER-BOUND ASSESSMENT OF THE SPATIAL ACCURACY OF HIERARCHICAL REGION-BASED IMAGE REPRESENTATIONS
Jordi Pont-Tuset, Ferran Marques, Universitat Politècnica de Catalunya, Spain
IVMSP-L5.3: $K$-MLE: A FAST ALGORITHM FOR LEARNING STATISTICAL MIXTURE MODELS
Frank Nielsen, Sony Computer Science Laboratories Inc., Japan
IVMSP-L5.4: NONLOCAL PDES ON GRAPHS FOR ACTIVE CONTOURS MODELS WITH APPLICATIONS TO IMAGE SEGMENTATION AND DATA CLUSTERING
Olivier Lezoray, Abderrahim Elmoataz, University of Caen, France; Vinh-Thong Ta, University of Bordeaux, France
IVMSP-L5.5: A GAUSSIAN-RAYLEIGH MIXTURE MODELING APPROACH FOR THROUGH-THE-WALL RADAR IMAGE SEGMENTATION
Cher Hau Seng, Abdesselam Bouzerdoum, University of Wollongong, Australia; Moeness G. Amin, Fauzia Ahmad, Villanova University, United States
IVMSP-L5.6: TOUCHCUT: SINGLE-TOUCH OBJECT SEGMENTATION DRIVEN BY LEVEL SET METHODS
Tinghuai Wang, University of Surrey, United Kingdom; Bo Han, Sony China Research Laboratory, China; John Collomosse, University of Surrey, United Kingdom
IVMSP-L6.1: GPU-ACCELERATED SCENE CATEGORIZATION UNDER MULTISCALE CATEGORY-SPECIFIC VISUAL WORD STRATEGY
Wei-Ta Chu, Sheng-Chung Tseng, National Chung Cheng University, Taiwan
IVMSP-L6.2: A SALIENCY DETECTION BASED METHOD FOR 3D SURFACE SIMPLIFICATION
Yitian Zhao, Yonghuai Liu, Ran Song, Aberystwyth University, United Kingdom; Min Zhang, Northwest University, China
IVMSP-L6.3: DISCRIMINATIVE BAG-OF-VISUAL PHRASE LEARNING FOR LANDMARK RECOGNITION
Tao Chen, Kim-Hui Yap, Dajiang Zhang, Nanyang Technological University, Singapore
IVMSP-L6.4: SPARSE LIKELIHOOD SALIENCY DETECTION
Minh Chau Hoang, Deepu Rajan, Nanyang Technological University, Singapore
IVMSP-L6.5: A NEW EFFICIENT VANISHING POINT DETECTION FROM A SINGLE IMAGE
Xiqun Lu, Zhejiang University, China
IVMSP-L6.6: ROBUST CONTOUR DESCRIPTION AND MEASUREMENT USING DISTANCE ON THE GRASSMANN MANIFOLD
Zhaozhong Wang, Zesheng Tang, Beihang University, China
IVMSP-L7.1: GENERALIZED TOTAL VARIATION DENOISING VIA AUGMENTED LAGRANGIAN CYCLE SPINNING WITH HAAR WAVELETS
Ulugbek Kamilov, Emrah Bostan, Michael Unser, École Polytechnique Fédérale de Lausanne, Switzerland
IVMSP-L7.2: COMPARAMETRIC IMAGE COMPOSITING: COMPUTATIONALLY EFFICIENT HIGH DYNAMIC RANGE IMAGING
Mir Adnan Ali, Social Dynamics Corp., Canada; Steve Mann, University of Toronto, Canada
IVMSP-L7.3: NOISE REDUCTION FOR DIFFERENTLY EXPOSED IMAGES
Wei Yao, Zhengguo Li, Susanto Rahardja, Institute for Infocomm Research, Singapore
IVMSP-L7.4: CLASSIFIED-FILTER-BASED POST-COMPENSATION INTERPOLATION FOR COLOR FILTER ARRAY DEMOSAICING
Jing-Ming Guo, Yun-Fu Liu, Bo-Syun Lai, National Taiwan University of Science and Technology, Taiwan; Peng-Hua Wang, National Taipei University, Taiwan; Jiann-Der Lee, Chang Gung University, Taiwan
IVMSP-L7.5: WEB IMAGE INTERPOLATION VIA WEIGHTED TOTAL LEAST SQUARES REGRESSION
Xianming Liu, Deming Zhai, Harbin Institute of Technology, China; Guangtao Zhai, Peking University, China; Debin Zhao, Harbin Institute of Technology, China; Wen Gao, Peking University, China
IVMSP-L7.6: SINGLE IMAGE BLIND DEBLURRING WITH IMAGE DECOMPOSITION
Yuquan Xu, Xiyuan Hu, Lu Wang, Silong Peng, Chinese Academy of Sciences, China
IVMSP-L8.1: LEARNING MULTIPLE CODEBOOKS FOR LOW BIT RATE MOBILE VISUAL SEARCH
Jie Lin, Ling-Yu Duan, Jie Chen, Rongrong Ji, Siwei Luo, Wen Gao, Peking University, China
IVMSP-L8.2: A NOVEL RANK ORDER LOG FILTER FOR INTEREST POINT DETECTION
Zhenwei Miao, Xudong Jiang, Nanyang Technological University, Singapore
IVMSP-L8.3: PQ-WGLOH: A BIT-RATE SCALABLE LOCAL FEATURE DESCRIPTOR
Chunyu Wang, Ling-Yu Duan, Yi Zhou Wang, Wen Gao, Peking University, China
IVMSP-L8.4: IMPROVING THE PERFORMANCE OF SIFT USING BILATERAL FILTER AND ITS APPLICATION TO GENERIC OBJECT RECOGNITION
Tomoaki Yamazaki, Tetsuya Fujikawa, Jiro Katto, Waseda University, Japan
IVMSP-L8.5: SYMMETRIC GENERALIZED LOW RANK APPROXIMATIONS OF MATRICES
Kohei Inoue, Kenji Hara, Kiichi Urahama, Kyushu University, Japan
IVMSP-L8.6: FACE DETECTION BASED ON MULTI-SCALE ENHANCED LOCAL TEXTURE FEATURE SETS
Zhe Wei, Yuan Dong, Beijing University of Posts and Telecommunications, China; Feng Zhao, Hongliang Bai, France Telecom Research & Development, China
IVMSP-L9.1: LAPLACIAN SIFT IN VISUAL SEARCH
Xin Xin, Northwestern University, United States; Zhu Li, FutureWei(Huawei) Technology, United States; Aggelos K. Katsaggelos, Northwestern University, United States
IVMSP-L9.2: DATA-SPECIFIC CONCEPT CORRELATION ESTIMATION FOR VIDEO ANNOTATION REFINEMENT
Cencen Zhong, Zhenjiang Miao, Beijing Jiaotong University, China
IVMSP-L9.3: PRUNING TREE-STRUCTURED VECTOR QUANTIZER TOWARDS LOW BIT RATE MOBILE VISUAL SEARCH
Chen Jie, Ling-Yu Duan, Peking University, China; Rongrong Ji, Harbin Institute of Technology, United States; Wen Gao, Peking University, China
IVMSP-L9.4: VIDEO CONTENT IDENTIFICATION USING THE VITERBI ALGORITHM
Sitaram Bhagavathy, Wen Chen, Dekun Zou, Jeffrey Bloom, Dialogic Inc., United States
IVMSP-L9.5: LOGO RECOGNITION AND LOCALIZATION IN REAL-WORLD IMAGES BY USING VISUAL PATTERNS
Wei-Ta Chu, Tsung-Che Lin, National Chung Cheng University, Taiwan
IVMSP-L9.6: EFFICIENT COARSE-TO-FINE NEAR-DUPLICATE IMAGE DETECTION IN RIEMANNIAN MANIFOLD
Ligang Zheng, Sun Yat-sen University, China; Guoping Qiu, The University of Nottingham, United Kingdom; Jiwu Huang, Sun Yat-sen University, China
IVMSP-P1.1: A DICTIONARY LEARNING APPROACH TO TRACKING
Mark Barnard, Wenwu Wang, Josef Kittler, The University of Surrey, United Kingdom; Syed Mohsen Naqvi, Jonathon A. Chambers, Loughborough University, United Kingdom
IVMSP-P1.2: ROBUST MULTI-OBJECT TRACKING VIA CROSS-DOMAIN CONTEXTUAL INFORMATION FOR SPORTS VIDEO ANALYSIS
Tianzhu Zhang, Bernard Ghanem, Advanced Digital Sciences Center, Singapore; Narendra Ahuja, University of Illinois at Urbana-Champaign, United States
IVMSP-P1.3: A STATISTICAL APPROACH TO MOTION VECTOR FIELD SMOOTHING FOR BLOCK-BASED MOTION-COMPENSATED FRAME INTERPOLATION
Dooseop Choi, Wonseok Song, Jongsoon Park, Seoul National University, Republic of Korea; Hyuk Choi, University of Seoul, Republic of Korea; Taejeong Kim, Seoul National University, Republic of Korea
IVMSP-P1.4: RECOGNIZING EMOTIONS OF CHARACTERS IN MOVIES
Ruchir Srivastava, Shuicheng Yan, Terence Sim, National University of Singapore, Singapore; Sujoy Roy, Institute for Infocomm Research, Singapore
IVMSP-P1.5: CAMERA LINK MODEL ESTIMATION IN A DISTRIBUTED CAMERA NETWORK BASED ON THE DETERMINISTIC ANNEALING AND THE BARRIER METHOD
Chun-Te Chu, Jenq-Neng Hwang, University of Washington, United States; Yi-Yuan Chen, Shen-Zheng Wang, Industrial Technology Research Institute, Taiwan
IVMSP-P1.6: SIFT-BASED MULTI-VIEW COOPERATIVE TRACKING FOR SOCCER VIDEO
Haopeng Li, Markus Flierl, KTH Royal Institute of Technology, Sweden
IVMSP-P1.7: ADAPTIVE HUMAN SILHOUETTE RECONSTRUCTION BASED ON THE EXPLORATION OF TEMPORAL INFORMATION
Xue Zhou, University of Electronic Science and Technology of China, China; Xi Li, Tat-Jun Chin, David Suter, University of Adelaide, Australia
IVMSP-P1.8: A FAST MQ TABLE BASED MERGING ALGORITHM FOR IMAGE SEGMENTATION
Hsi-Chin Hsin, Professor, Taiwan; Tze-Yun Sung, National United University, Taiwan; Yaw-Shih Shieh, Associate Professor, Taiwan
IVMSP-P2.1: TWO-STAGE SPARSE GRAPH CONSTRUCTION USING MINHASH ON MAPREDUCE
Liang-Chi Hsieh, Guan-Long Wu, Wen-Yu Lee, Winston Hsu, National Taiwan University, Taiwan
IVMSP-P2.3: A GRAPH-THEORETIC APPROACH TO CLASSIFIER COMBINATION
Jian Hou, Bohai University, China; Zhan-Shen Feng, Bo-Ping Zhang, Xuchang University, China
IVMSP-P2.4: GENERIC OBJECT RECOGNITION BY GRAPH STRUCTURAL EXPRESSION
Takahiro Hori, Tetsuya Takiguchi, Yasuo Ariki, Kobe University, Japan
IVMSP-P2.5: CONTENT-BASED VEHICLE RETRIEVAL USING 3D MODEL AND PART INFORMATION
Ming-Kuang Tsai, Yen-Liang Lin, Winston Hsu, National Taiwan University, Taiwan; Chih-Wei Chen, Industrial Technology Research Institute, Taiwan
IVMSP-P2.6: FAST AND ACCURATE CONTENT-BASED VIDEO COPY DETECTION USING BAG-OF-GLOBAL VISUAL FEATURES
Yusuke Uchida, Koichi Takagi, Shigeyuki Sakazawa, KDDI R&D Laboratories, Inc., Japan
IVMSP-P2.7: DYNAMIC SEMANTIC FEATURE-BASED LONG-TERM CROSS-SESSION LEARNING APPROACH TO CONTENT-BASED IMAGE RETRIEVAL
Zhongmiao Xiao, The Utah State University, United States; Matthew Clark, University of Portland, United States; KokSheik Wong, University of Malaya, Malaysia; Xiaojun Qi, The Utah State University, United States
IVMSP-P2.8: HASH BASED IDENTIFICATION OF JPEG 2000 IMAGES WITH DIFFERENT CODING PARAMETERS
Osamu Watanabe, Takushoku University, Japan; Takahiro Fukuhara, Sony Corp., Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan
IVMSP-P2.9: SPREADING ACTIVATION THEORY BASED IMAGE ANNOTATION
Songhao Zhu, Baoyun Wang, Nanjing University of Posts and Telecommunications, China; Yuncai Liu, Shanghai Jiao Tong University, China
IVMSP-P2.10: ENTROPY BASED LOCALITY SENSITIVE HASHING
Qiang Wang, Zhiyuan Guo, Gang Liu, Jun Guo, Beijing University of Posts and Telecommunications, China
IVMSP-P2.11: USING NON-PARAMETRIC QUANTUM THEORY TO RANK IMAGES
Songhao Zhu, Baoyun Wang, Nanjing University of Posts and Telecommunications, China; Yuncai Liu, Shanghai Jiao Tong University, China
IVMSP-P2.12: ROTATION INVARIANT SIMULTANEOUS CLUSTERING AND DICTIONARY LEARNING
Yi-Chen Chen, Center for Automation Research, United States; Challa S. Sastry, Indian Institute of Technology, Hyderabad, India; Vishal M. Patel, Center for Automation Research, United States; P. Jonathon Phillips, NIST, United States; Rama Chellappa, Center for Automation Research, United States
IVMSP-P3.1: FRACTIONAL-ORDER DIFFUSION FOR IMAGE RECONSTRUCTION
Stanislas Larnier, Université Paul Sabatier, France; Roberto Mecca, Universita di Roma, Italy
IVMSP-P3.2: AN ALTERNATING DIRECTION METHOD FOR FRAME-BASED IMAGE DEBLURRING WITH BALANCED REGULARIZATION
Shoulie Xie, Susanto Rahardja, Institute for Infocomm Research, Singapore
IVMSP-P3.3: AN EXPLICIT SHARPNESS INDEX RELATED TO GLOBAL PHASE COHERENCE
Gwendoline Blanchet, CNES, France; Lionel Moisan, Universite Paris Descartes, France
IVMSP-P3.4: SPATIALLY-VARYING OUT-OF-FOCUS IMAGE DEBLURRING WITH L1-2 OPTIMIZATION AND A GUIDED BLUR MAP
Chih-Tsung Shen, Wen-Liang Hwang, Academia Sinica, Taiwan; Soo-Chang Pei, National Taiwan University, Taiwan
IVMSP-P3.5: A NOVEL WEIGHTING METHOD USING FUZZY SET THEORY FOR SPATIAL ADAPTIVE PATCH-BASED IMAGE DENOISING
Fang Zhao, Feng Ye, Teng Zhang, Aidong Men, Beijing University of Posts and Telecommunications, China
IVMSP-P3.6: MIXED GAUSSIAN-IMPULSE NOISE IMAGE RESTORATION VIA TOTAL VARIATION
Paul Rodriguez, Pontificia Universidad Catolica del Peru, Peru; Renán Rojas, Pontifical Catholic University of Peru, Peru; Brendt Wohlberg, LANL, United States
IVMSP-P3.7: POISSON-GAUSSIAN DENOISING USING THE EXACT UNBIASED INVERSE OF THE GENERALIZED ANSCOMBE TRANSFORMATION
Markku Mäkitalo, Alessandro Foi, Tampere University of Technology, Finland
IVMSP-P3.8: A PRIMAL-DUAL PROXIMAL SPLITTING APPROACH FOR RESTORING DATA CORRUPTED WITH POISSON-GAUSSIAN NOISE
Anna Jezierska, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot, Université Paris-Est / Institut Gaspard Monge, France
IVMSP-P3.9: IMAGE DENOISING WITH UNION OF DIRECTIONAL ORTHONORMAL DWTS
Shogo Muramatsu, Dandan Han, Niigata University, Japan
IVMSP-P3.10: A PATCH-BASED APPROACH FOR RANDOM-VALUED IMPULSE NOISE REMOVAL
Julie Delon, LTCI CNRS, TELECOM PARISTECH, France; Agnès Desolneux, MAP5 CNRS, Univ. Paris Descartes, France
IVMSP-P3.11: REGULARIZED OPTIMIZATION FOR JOINT SUPER-RESOLUTION AND HIGH DYNAMIC RANGE IMAGE RECONSTRUCTION IN A PERCEPTUALLY UNIFORM DOMAIN
Tomas Bengtsson, Irene Yu-Hua Gu, Mats Viberg, Chalmers University of Technology, Sweden; Konstantin Lindström, Volvo Cars AB, Sweden
IVMSP-P3.12: REDUCTION OF GHOST EFFECT IN EXPOSURE FUSION BY DETECTING THE GHOST PIXELS IN SATURATED AND NON-SATURATED REGIONS
Jaehyun An, Seong Jong Ha, Nam Ik Cho, Seoul National University, Republic of Korea
IVMSP-P4.1: IMAGE DENOISING USING WAVELET BAYESIAN NETWORK MODELS
Jinn Ho, Wen-Liang Hwang, Academia Sinica, Taiwan
IVMSP-P4.2: POISSON NOISE REDUCTION WITH NON-LOCAL PCA
Joseph Salmon, Duke University, United States; Charles-Alban Deledalle, CNRS-Paris-Dauphine, France; Rebecca Willett, Zachary Harmany, Duke University, United States
IVMSP-P4.3: A BILATERAL FILTER IN GRADIENT DOMAIN
Zhengguo Li, Jinghong Zheng, Zijian Zhu, Shiqian Wu, Susanto Rahardja, Institute for Infocomm Research, Singapore
IVMSP-P4.4: AN OPTIMIZED MC INTERPOLATION ARCHITECTURE FOR HEVC
Zhengyan Guo, Dajiang Zhou, Satoshi Goto, Graduate School of Information, Production and System LSI, Waseda University, Japan
IVMSP-P4.5: TEXTURE SUPPRESSION PRESERVING EDGES BY ANISOTROPIC DIFFUSION
Baptiste Magnier, Philippe Montesinos, Daniel Diep, Ecole des Mines d'Alès / LGi2P, France
IVMSP-P4.6: IMAGE DENOISING USING SPATIAL CONTEXT MODELING OF WAVELET COEFFICIENTS
Shyam Anand Chandran, Jyotinder Singh Sahambi, Indian Institute of Technology, Guwahati, India
IVMSP-P4.7: SURE-FAST BILATERAL FILTERS
Harini Kishan, Chandra Sekhar Seelamantula, Indian Institute of Science, India
IVMSP-P4.8: MULTIPLE DICTIONARY LEARNING FOR BLOCKING ARTIFACTS REDUCTION
Yi Wang, University of Minnesota, United States; Fatih Porikli, Mitsubishi Electric Research Laboratories, United States
IVMSP-P4.9: ADDITIVE NOISE REMOVAL BY SPARSE RECONSTRUCTION ON IMAGE AFFINITY NETS
Rajagopalan Sundaresan, University of Arizona, United States; Fatih Porikli, Mitsubishi Electric Research Laboratories, United States
IVMSP-P5.1: PERCEPTUALLY OPTIMIZED SUBSPACE ESTIMATION FOR MISSING TEXTURE RECONSTRUCTION
Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
IVMSP-P5.2: PERCEPTUAL IMAGE QUALITY ASSESSMENT USING BLOCK-BASED MULTI-METRIC FUSION (BMMF)
Lina Jin, Karen Egiazarian, Tampere University of Technology, Finland; C.-C. Jay Kuo, University of Southern California, United States
IVMSP-P5.3: A LOCAL INTENSITY ADAPTIVE STRUCTURAL SIMILARITY INDEX
Zhengguo Li, Chuo Hao Yeo, Yih Han Tan, Susanto Rahardja, Institute for Infocomm Research, Singapore
IVMSP-P5.4: TOWARDS AN EFFICIENT MODEL OF VISUAL SALIENCY FOR OBJECTIVE IMAGE QUALITY ASSESSMENT
Hantao Liu, Delft University of Technology, Netherlands; Ingrid Heynderickx, Philips Research Laboratories, Netherlands
IVMSP-P5.5: ON MONOTONICITY OF IMAGE QUALITY METRICS
Guangtao Zhai, Xiaolin Wu, McMaster University, Canada
IVMSP-P5.6: AN EXPECTATION-MAXIMIZATION APPROACH ASSISTED BY DEMPSTER-SHAFER THEORY AND ITS APPLICATION TO SONAR IMAGE SEGMENTATION
Tai Fei, Dieter Kraus, University of Applied Sciences Bremen, Germany
IVMSP-P5.7: IMPROVED SPECTRAL MATTING BY ITERATIVE K-MEANS CLUSTERING AND THE MODULARITY MEASURE
Tung-Yu Wu, Hung-Hui Juan, Henry Horng-Shing Lu, National Chiao Tung University, Taiwan
IVMSP-P5.8: IMPROVEMENT OF CONTOUR EXTRACTION PRECISION OF ACTIVE CONTOUR MODEL WITH STRUCTURING ELEMENTS
Satoshi Urata, Hiroshi Yasukawa, Aichi Prefectural University, Japan
IVMSP-P5.9: SUBSPACE BASED ACTIVE CONTOURS WITH A JOINT DISTRIBUTION METRIC FOR SEMI-SUPERVISED NATURAL IMAGE SEGMENTATION
Shu-Juan Peng, Huaqiao University, China; Xin Liu, Yiu-Ming Cheung, Hong Kong Baptist University, Hong Kong SAR of China
IVMSP-P5.10: AN OBJECT CONTOUR EXTRACTION USING LOCAL STRUCTURE INFORMATION CAPTURED BY A SPOTLIGHT FILTER
Cheng-Ting Liu, Chih-Chuan Lin, Roy Chaoming Hsu, National Chiayi University, Taiwan
IVMSP-P5.11: WATER DROPLETS SEGMENTATION FOR HYDROPHOBICITY CLASSIFICATION
Chao Liang, Wenming Yang, Qingmin Liao, Tsinghua University, China
IVMSP-P6.1: LAGRANGIAN MULTIPLIER OPTIMIZATION USING CORRELATIONS IN RESIDUES
Zhenyu Liu, Dongsheng Wang, Tsinghua University, China; Junwei Zhou, Oracle Corporation, United States; Takeshi Ikenaga, Waseda University, Japan
IVMSP-P6.2: 3D MOTION ESTIMATION FOR 3D VIDEO CODING
Manoranjan Paul, Junbin Gao, Michael Anotolovich, Charles Sturt University, Australia
IVMSP-P6.3: RESIDUAL ERROR CURVATURE ESTIMATION AND ADAPTIVE CLASSIFICATION FOR SELECTIVE SUB-PEL PRECISION MOTION ESTIMATION
Saverio G. Blasi, Ebroul Izquierdo, Queen Mary University of London, United Kingdom
IVMSP-P6.4: A NOVEL FAST TWO STEP SUB-PIXEL MOTION ESTIMATION ALGORITHM IN HEVC
Wei Dai, Oscar C. Au, Chao Pang, Lin Sun, Ruobing Zou, Sijin Li, Hong Kong University of Science and Technology, Hong Kong SAR of China
IVMSP-P6.5: ON SECONDARY TRANSFORMS FOR INTRA PREDICTION RESIDUAL
Ankur Saxena, Felix C. A. Fernandes, Samsung Telecommunications America, United States
IVMSP-P6.6: A HYBRID RLC-TURBO CODEC SCHEME IN DISTRIBUTED VIDEO CODING
Chun-Ling Yang, Wang-Hua Mo, South China University of Technology, China; Z. Jane Wang, The University of British Columbia, Canada
IVMSP-P6.7: A SPATIO-TEMPORAL RECURSIVE SEARCH BASED PREDICTION SCHEME FOR EFFICIENT MULTI-FRAME AND BIDIRECTIONAL MOTION ESTIMATION
Ahtsham Ali, Nadeem A. Khan, Lahore University of Management Sciences, Pakistan
IVMSP-P6.8: A NEW MOTION COMPENSATION METHOD USING SUPERIMPOSED INTER-FRAME SIGNALS
Ka-Ho Ng, Lai-Man Po, Kwok-Wai Cheung, Xu-Yuan Xu, Ka-Man Wong, City University of Hong Kong, Hong Kong SAR of China
IVMSP-P6.9: INTRA PREDICTION WITH ENHANCED INPAINTING METHOD AND VECTOR PREDICTOR FOR HEVC
Xingli Qi, Teng Zhang, Feng Ye, Aidong Men, Bo Yang, Beijing University of Posts and Telecommunications, China
IVMSP-P6.10: COMPLEXITY SCALABLE IDCT BASED APPROACHES FOR POWER-EFFICIENT VIDEO DECODING
Zahaib Akhtar, Mehar Ali, Nadeem A. Khan, Jahangir Ikram, Lahore University of Management Sciences, Pakistan
IVMSP-P6.11: COMPUTATIONALLY EFFICIENT ADAPTIVE LOOP FILTERING DESIGN WITH DIRECTIONAL FEATURES FOR VIDEO CODING
PoLin Lai, Felix C. A. Fernandes, Samsung Telecommunications America, United States
IVMSP-P6.12: ANALYSIS OF ONE-DIMENSIONAL TRANSFORMS IN CODING MOTION COMPENSATION PREDICTION RESIDUALS FOR VIDEO APPLICATIONS
Harley Zhang, Jae Lim, Massachusetts Institute of Technology, United States
IVMSP-P7.1: CONVEX GEOMETRY BASED ESTIMATION OF NUMBER OF ENDMEMBERS IN HYPERSPECTRAL IMAGES
ArulMurugan Ambikapathi, Tsung-Han Chan, Chong-Yung Chi, National Tsing Hua University, Taiwan
IVMSP-P7.2: FAST ALGORITHMS FOR ROBUST HYPERSPECTRAL ENDMEMBER EXTRACTION BASED ON WORST-CASE SIMPLEX VOLUME MAXIMIZATION
Tsung-Han Chan, Ji-Yuan Liou, ArulMurugan Ambikapathi, National Tsing Hua University, Taiwan; Wing-Kin (Ken) Ma, The Chinese University of Hong Kong, Hong Kong SAR of China; Chong-Yung Chi, National Tsing Hua University, Taiwan
IVMSP-P7.3: A COMPUTATIONALLY EFFICIENT ALGORITHM FOR HIGH QUALITY SEPARATION OF SIMULTANEOUS SOURCES IN SEISMOLOGY
Aboulnasr Hassanien, Sergiy A. Vorobyov, Mauricio Saachi, Mostafa Naghizadeh, University of Alberta, Canada
IVMSP-P7.4: A NOVEL CURVELET DOMAIN SPECKLE SUPPRESSION METHOD FOR SAR IMAGES
Maryam Amirmazlaghani, Hamidreza Amindavar, Amirkabir University of Technology, Iran
IVMSP-P7.5: UNSUPERVISED NONLINEAR UNMIXING OF HYPERSPECTRAL IMAGES USING GAUSSIAN PROCESSES
Yoann Altmann, Nicolas Dobigeon, University of Toulouse, France; Steve McLaughlin, University of Edimburgh, United Kingdom; Jean-Yves Tourneret, University of Toulouse, France
IVMSP-P8.1: A SUPER-RESOLUTION METHOD FOR LOW-QUALITY FACE IMAGE THROUGH RBF-PLS REGRESSION AND NEIGHBOR EMBEDDING
Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu, Kebin Huang, Wuhan Univesity, China
IVMSP-P8.2: MULTI-FRAME SUPER-RESOLUTION FROM OBSERVATIONS WITH ZOOMING MOTION
Yushuang Tian, Kim-Hui Yap, Nanyang Technological University, Singapore
IVMSP-P8.3: IMAGE RESIZING USING IMPROVED SEAM MERGING
Kazu Mishiba, Masaaki Ikehara, Keio University, Japan
IVMSP-P8.4: AN EFFICIENT LOCAL-STRUCTURE-BASED FACE-HALLUCINATION METHOD
Zhuo Hui, Kin-Man Lam, The Hong Kong Polytechnic University, Hong Kong SAR of China
IVMSP-P8.5: SINGLE IMAGE SUPER-RESOLUTION USING ITERATIVE WIENER FILTER
Kwok-Wai Hung, Hong Kong Polytechnic University, Hong Kong SAR of China; Wan-Chi Siu, The Hong Kong Polytechnic University, Hong Kong SAR of China
IVMSP-P8.6: A NEW TECHNIQUE OF NON-ITERATIVE SUPER-RESOLUTION WITHOUT BOUNDARY DISTORTION
Izumi Ito, Tokyo Institute of Technology, Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan
IVMSP-P8.7: LINEAR UNIVERSAL DEMOSAICKING OF REGULAR PATTERN COLOR FILTER ARRAYS
Mritunjay Singh, Tripurari Singh, Image Algorithmics, United States
IVMSP-P8.8: MISSING REGION RECOVERY BY PROMOTING BLOCKWISE LOW-RANKNESS
Shunsuke Ono, Takamichi Miyata, Isao Yamada, Katsunori Yamaoka, Tokyo Institute of Technology, Japan
IVMSP-P8.9: SUPER-RESOLUTION BY GMM BASED CONVERSION USING SELF-REDUCTION IMAGE
Yuki Ogawa, Yasuo Ariki, Tetsuya Takiguchi, Kobe University, Japan
IVMSP-P8.10: NEIGHBOR EMBEDDING BASED SINGLE-IMAGE SUPER-RESOLUTION USING SEMI-NONNEGATIVE MATRIX FACTORIZATION
Marco Bevilacqua, Aline Roumy, Christine Guillemot, IRISA-INRIA, France; Marie-Line Alberi Morel, Alcatel-Lucent, France
IVMSP-P8.11: A CLUSTERING APPROACH TO OPTIMIZE ONLINE DICTIONARY LEARNING
Nikhil Rao, University of Wisconsin - Madison, United States; Fatih Porikli, Mitsubishi Electric Research Laboratories, United States
IVMSP-P9.1: SPATIAL CONNECTED COMPONENT PRE-LOCATING ALGORITHM FOR RAPID LOGO DETECTION
Yuan Zhang, Shuwu Zhang, Wei Liang, Hai Wang, Chinese Academy of Sciences, China
IVMSP-P9.2: FACE RECOGNITION USING CO-OCCURRENCE HISTOGRAMS OF ORIENTED GRADIENTS
Thanh-Toan Do, Ewa Kijak, IRISA/INRIA, France
IVMSP-P9.3: VISUAL SALIENCY BASED ON FAST NONPARAMETRIC MULTIDIMENSIONAL ENTROPY ESTIMATION
Anh Cat Le Ngo, Guoping Qiu, Geoff Underwood, Li-Minn Ang, Kah Phooi Seng, The University of Nottingham, United Kingdom
IVMSP-P9.4: EDCIRCLES: REAL-TIME CIRCLE DETECTION BY EDGE DRAWING (ED)
Cuneyt Akinlar, Cihan Topal, Anadolu University, Turkey
IVMSP-P9.5: SCENE IMAGE RECOGNITION BASED ON THE SEQUENCE OF LOCAL IMAGE VECTORS REPRESENTED BY ORIENTED EDGES
Shigetaka Morikawa, Tadashi Shibata, The University of Tokyo, Japan
IVMSP-P9.6: RECTANGULAR DISCRETE RADON TRANSFORM TOWARDS AN AUTOMATED BUILDINGS RECOGNITION FROM HIGH RESOLUTION SATELLITE IMAGE
Ines Elouedi, Atef Hamouda, Hmida Rojbani, Research Unity of Programming, Algorithmic and Heuristics/Image Processing Unity, Tunisia
IVMSP-P9.7: COLOR-FREQUENCY-ORIENTATION HISTOGRAM BASED IMAGE RETRIEVAL
Zhuo Zhang, Xiaodong Gu, Sun-Yuan Kung, Princeton University, United States
IVMSP-P9.8: DISCRIMINATIVE COMMON VECTORS BASED ON THE GRAM-SCHMIDT REORTHOGONALIZATION FOR THE SMALL SAMPLE SIZE PROBLEM
Ying Wen, East China Normal University, China; Lianghua He, Tongji University, China; Yue Lu, East China Normal University, China
IVMSP-P9.9: RELAXATION OF PARTICLE IMAGE VELOCIMETRY BASED ON SINGLE AUTOCORRELATION OF FILTERED MOTION BLURRING
T. Lefeure, INSA de Rouen, France; Lars Rockstroh, Michael Klaiber, University of Stuttgart, Germany; N. Fortier, INSA de Rouen, France; Sven Simon, University of Stuttgart, Germany
IVMSP-P9.10: OBJECT CLASSIFICATION IN SIDESCAN SONAR IMAGES WITH SPARSE REPRESENTATION TECHNIQUES
Naveen Kumar, Qun Feng Tan, Shrikanth Narayanan, University of Southern California, United States
IVMSP-P9.11: PERCEPTUAL SIMILARITY BASED ROBUST LOW-COMPLEXITY VIDEO FINGERPRINTING
Karthikeyan Shanmuga Vadivel, University of California at Santa Barbara ; Samsung Telecommunications America, United States; Felix C. A. Fernandes, Zhan Ma, PoLin Lai, Ankur Saxena, Samsung Telecommunications America, United States
IVMSP-P9.12: PERSONAL IDENTIFICATION BY EXTRACTING SIFT FEATURES FROM LASER SPECKLE PATTERNS
Chih-Ming Liao, Chung-Shan Institute of Science and Technology, Taiwan; Ping Sheng Huang, Ming Chuan University, Taiwan; Chung-Cheng Chiu, Chung Cheng Institute of Technology, Taiwan; Yi-Yuh Hwang, Chung-Shan Institute of Science and Technology, Taiwan
IVMSP-P10.1: FAST FACTORIZATIONS OF DISCRETE SINE TRANSFORMS OF TYPES VI AND VII.
Ravi Chivukula, Qualcomm Inc, United States; Yuriy Reznik, InterDigital Communications, Inc., United States
IVMSP-P10.2: LIGHT FIELD COMPRESSION USING HOMOGRAPHY AND 2D WARPING
Shinjini Kundu, University of Pittsburgh, United States
IVMSP-P10.3: ADAPTIVE LAYERED MULTIPLE DESCRIPTION CODING FOR WIRELESS VIDEO WITH EXPANDING WINDOW RANDOM LINEAR CODES
Sajid Nazir, Vladimir Stankovic, University of Strathclyde, United Kingdom; Dejan Vukobratovic, University of Novi Sad, Yugoslavia
IVMSP-P10.4: MODEL-BASED OPTIMAL DEPENDENT JOINT BIT ALLOCATION OF H.264/AVC STATISTICAL MULTIPLEXING
Chao Pang, Oscar C. Au, Feng Zou, Jingjing Dai, Hong Kong University of Science and Technology, Hong Kong SAR of China
IVMSP-P10.5: LOSSY COMPRESSION OF SPARSE HISTOGRAM IMAGE
Masahiro Iwahashi, Nagaoka University of Technology, Japan; Hiroyuki Kobayashi, Tokyo Metropolitan College of Industrial Technology, Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan
IVMSP-P10.6: HOW TO FOCUS THE DISCRIMINATIVE POWER OF A DICTIONARY
William R. Carson, Miguel R. D. Rodrigues, Universidade do Porto, Portugal; Minhua Chen, Lawrence Carin, Robert Calderbank, Duke University, United States
IVMSP-P10.7: SUBJECTIVE AND OBJECTIVE TEXTURE SIMILARITY FOR IMAGE COMPRESSION
Jana Zujovic, Thrasyvoulos Pappas, Northwestern University, United States; David Neuhoff, University of Michigan at Ann Arbor, United States; Rene van Egmond, Huib de Ridder, TU Delft, Netherlands
IVMSP-P10.8: A BIT-DEPTH SCALABLE VIDEO CODING APPROACH CONSIDERING SPATIAL GRADATION RESTORATION
Masaru Takeuchi, Waseda University, Japan; Yasutaka Matsuo, NHK, Japan; Yuta Yamamura, Jiro Katto, Waseda University, Japan; Kazuhisa Iguchi, NHK, Japan
IVMSP-P11.1: AN EFFICIENT ALGORITHM FOR L1-NORM PRINCIPAL COMPONENT ANALYSIS
Linbin Yu, Miao Zhang, Chris Ding, The University of Texas at Arlington, United States
IVMSP-P11.2: A COMPACT REPRESENTATION OF RANDOM PHASE AND GAUSSIAN TEXTURES
Agnès Desolneux, Lionel Moisan, Samuel Ronsin, Universite Paris Descartes, France
IVMSP-P11.3: ESTIMATION OF THE NEUTRAL FACE SHAPE USING GAUSSIAN MIXTURE MODELS
Sezer Ulukaya, Bogaziçi University, Turkey; Cigdem Eroglu Erdem, Bahcesehir University, Turkey
IVMSP-P11.4: EXPOSING VIDEO FORGERIES BY DETECTING MPEG DOUBLE COMPRESSION
Tanfeng Sun, Wan Wang, Xinghao Jiang, Shanghai Jiao Tong University, China
IVMSP-P11.5: FROM VIDEO TO TEXT: SEMANTIC DRIVING SCENE UNDERSTANDING USING A COARSE-TO-FINE METHOD
Huiyuan Fu, Huadong Ma, Beijing University of Posts and Telecommunications, China
IVMSP-P11.6: DATA LEVEL OBJECT DETECTOR ADAPTATION WITH ONLINE MULTIPLE INSTANCE SAMPLES
Bobo Zeng, Guijin Wang, Zhiwei Ruan, Xinggang Lin, Tsinghua University, China
IVMSP-P11.7: ENHANCING MODEL-BASED SKIN COLOR DETECTION: FROM LOW-LEVEL RGB FEATURES TO HIGH-LEVEL DISCRIMINATIVE BINARY-CLASS FEATURES
You-Chi Cheng, Georgia Institute of Technology, United States; Zhe Feng, Fuliang Weng, Robert BOSCH, United States; Chin-Hui Lee, Georgia Institute of Technology, United States
IVMSP-P11.8: RGBD-CAMERA BASED GET-UP EVENT DETECTION FOR HOSPITAL FALL PREVENTION
Bingbing Ni, Advanced Digital Sciences Center, Singapore; Chi Dat Nguyen, National University of Singapore, Singapore; Pierre Moulin, UIUC, United States
IVMSP-P11.9: MATCHING LOGOS FOR SLOW MOTION REPLAY DETECTION IN BROADCAST SPORTS VIDEO
Feng Zhao, France Telecom R&D Beijing, China; Yuan Dong, Zhe Wei, Beijing University of Posts and Telecommunications, China; Haila Wang, France Telecom R&D Beijing, China
IVMSP-P11.10: GRAPH-BASED MULTI-MODAL SCENE DETECTION FOR MOVIE AND TELEPLAY
Su Xu, Bailan Feng, Chinese Academy of Sciences, China; Peng Ding, Digital Content Technology Research Center, China; Bo Xu, Chinese Academy of Sciences, China
IVMSP-P11.11: MULTI-MODAL INFORMATION FUSION FOR NEWS STORY SEGMENTATION IN BROADCAST VIDEO
Bailan Feng, Peng Ding, Jiansong Chen, Jinfeng Bai, Su Xu, Bo Xu, Chinese Academy of Sciences, China
IVMSP-P11.12: RELATIVE-DISTANCE-BASED SOFT VOTING FOR FEATURE REPRESENTATION AND ITS APPLICATION TO HUMAN ATTRIBUTE ANALYSIS
Toshihiko Yamasaki, Cornell University, United States
IVMSP-P12.1: SHAPE FROM POINT FEATURES
Steve Gu, Ying Zheng, Carlo Tomasi, Duke University, United States
IVMSP-P12.2: A NOVEL METHOD FOR 2D-TO-3D VIDEO CONVERSION USING BI-DIRECTIONAL MOTION ESTIMATION
Zhenyao Li, Xun Cao, Qionghai Dai, Tsinghua University, China
IVMSP-P12.3: 2D-TO-3D CONVERSION FOR SINGLE-VIEW IMAGE BASED ON CAMERA PROJECTION MODEL AND DARK CHANNEL MODEL
Tien-Ying Kuo, Yi-Chung Lo, Chia-Chin Lin, National Taipei University of Technology, Taiwan
IVMSP-P12.4: A DEPTH MAP REFINEMENT ALGORITHM FOR 2D-TO-3D CONVERSION
Yu-Lin Chang, Yu-Pao Tsai, Te-Hao Chang, Ying-Rui Chen, Shawmin Lei, MediaTek Inc., Taiwan
IVMSP-P12.5: ADAPTIVE 2D TO 3D IMAGE CONVERSION USING A HYBRID GRAPH CUTS AND RANDOM WALKS APPROACH
Mohammad Fawaz, Raymond Phan, Richard Rzeszutek, Dimitrios Androutsos, Ryerson University, Canada
IVMSP-P12.6: OPTIMAL FRAME STRUCTURE DESIGN USING LANDMARKS FOR INTERACTIVE LIGHT FIELD STREAMING
Wei Cai, Seoul National University, Republic of Korea; Gene Cheung, National Institute of Informatics, Japan; Sung-Ju Lee, Hewlett-Packard Laboratories, United States; Taekyoung Kwon, Seoul National University, Republic of Korea
IVMSP-P12.7: DISOCCLUSION USING DEPTH RELIABILITY MAP FOR VIEW SYNTHESIS
Yi Lai, Xuguang Lan, Yuehu Liu, Nanning Zheng, Xi'an Jiaotong University, China
IVMSP-P12.8: GEOMETRIC MAPPING ASSISTED MULTI-VIEW DEPTH VIDEO CODING
Qiong Liu, Yongbing Zhang, Xiangyang Ji, Qionghai Dai, Tsinghua University, China
IVMSP-P13.1: ESTIMATING THE SPIN OF A TABLE TENNIS BALL USING INVERSE COMPOSITIONAL IMAGE ALIGNMENT
Tamaki Toru, Haoming Wang, Bisser Raytchev, Kazufumi Kaneda, Hiroshima University, Japan; Yukihiko Ushiyama, Niigata University, Japan
IVMSP-P13.2: TRAJECTORY-BASED HUMAN ACTIVITY RECOGNITION USING HIDDEN CONDITIONAL RANDOM FIELDS
Qingbin Gao, Shiliang Sun, East China Normal University, China
IVMSP-P13.3: SALIENT MOTION DETECTION THROUGH STATE CONTROLLABILITY
Karthik Muthuswamy, Deepu Rajan, Nanyang Technological University, Singapore
IVMSP-P13.4: VISUAL OBJECT TRACKING BASED ON THE OBJECT'S SALIENT FEATURES WITH APPLICATION IN AUTOMATIC NUTRITION ASSISTANCE
Olga Zoidi, Anastasios Tefas, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
IVMSP-P13.5: ROBUST VIDEO REGISTRATION APPLIED TO FIELD-SPORTS VIDEO ANALYSIS
Bernard Ghanem, Tianzhu Zhang, Advanced Digital Sciences Center, Singapore; Narendra Ahuja, University of Illinois at Urbana-Champaign, United States
IVMSP-P13.6: ADAPTIVE RATE COMPRESSIVE SENSING FOR BACKGROUND SUBTRACTION
Garrett Warnell, University of Maryland, United States; Dikpal Reddy, University of California at Berkeley, United States; Rama Chellappa, University of Maryland, United States
IVMSP-P13.7: LOGOS OF HUMAN ACTIONS
Jian Wang, Wuzhenni Hu, Zhiling Wang, Sarfaraz Malik Muhammad, Zonghai Chen, University of Science and Technology of China, China
IVMSP-P13.8: MOTION SALIENCY DETECTION USING LOW-RANK AND SPARSE DECOMPOSITION
Yawen Xue, Xiaojie Guo, Xiaochun Cao, Tianjin University, China
IVMSP-P13.9: ROBUST FOVEAL WAVELET-BASED OBJECT TRACKING
Aldo Maalouf, Chaker Larabi, University of Poitiers, France
IVMSP-P13.10: ROBUST VISUAL TRACKING VIA MCMC-BASED PARTICLE FILTERING
Dung Nghi Truong Cong, François Septier, Christelle Garnier, Institut TELECOM / Telecom Lille1 / LAGIS UMR CNRS 8219, France, France; Louahdi Khoudour, CETE du Sud-Ouest: Centre d'Etudes Techniques de l'Equipement, France; Yves Delignon, Institut TELECOM / Telecom Lille1 / LAGIS UMR CNRS 8219, France, France
IVMSP-P13.11: EIGEN-PROFILES OF SPATIO-TEMPORAL FRAGMENTS FOR ADAPTIVE REGION-BASED TRACKING
Adway Mitra, Anoop K.R., Ujwal Bonde, Chiranjib Bhattacharyya, Ramakrishnan K.R., Indian Institute of Science, India
IVMSP-P14.1: TENSOR BASED GENERALIZATION OF MONOGENIC WAVELETS FOR COHERENT MULTISCALE LOCAL PHASE ANALYSIS OF COLOR IMAGES
Raphael Soulard, Philippe Carré, University of Poitiers, France
IVMSP-P14.2: COMPUTATIONALLY EFFICIENT TONE-MAPPING OF HIGH-BIT-DEPTH VIDEO IN THE YCBCR DOMAIN
Zicong Mai, Panos Nasiopoulos, Rabab Ward, University of British Columbia, Canada, Canada
IVMSP-P14.3: IMPROVED COLOR BARCODES VIA EXPECTATION MAXIMIZATION STYLE INTERFERENCE CANCELLATION
Orhan Bulan, Gaurav Sharma, University of Rochester, United States
IVMSP-P14.4: HUMAN DETECTION USING SPARSE REPRESENTATION
Krishna Vinay G, Sk. Mohammadul Haque, Venkatesh Babu Radhakrishnan, Kalpati R Ramakrishnan, Indian Institute of Science, India
IVMSP-P14.5: FACE ALIGNMENT BASED ON THE MULTI-SCALE LOCAL FEATURES
Cong Geng, Xudong Jiang, Nanyang Technological University, Singapore
IVMSP-P14.6: REGIONAL CONFIDENCE SCORE ASSESSMENT FOR 3D FACE
Nesli Erdogmus, Jean-Luc Dugelay, Eurecom, France
IVMSP-P14.7: RACE RECOGNITION USING LOCAL DESCRIPTORS
Ghulam Muhammad, Muhammad Hussain, Fatmah Alenezy, Anwar M. Mirza, King Saud University, Saudi Arabia; George Bebis, University of Nevada at Reno, United States; Hatim Aboalsamh, King Saud University, Saudi Arabia
IVMSP-P14.8: A HIERARCHICAL APPROACH FOR HUMAN AGE ESTIMATION
Pavleen Thukral, Poolesville High School, United States; Kaushik Mitra, Rice University, United States; Rama Chellappa, University of Maryland Baltimore County, United States
IVMSP-P14.9: FACE RECOGNITION BASED ON NONSUBSAMPLED CONTOURLET TRANSFORM AND BLOCK-BASED KERNEL FISHER LINEAR DISCRIMINANT
Biao Wang, Weifeng Li, Qingmin Liao, Tsinghua University, China
IVMSP-P14.10: ILLUMINATION INVARIANT FACIAL RECOGNITION USING A PIECEWISE-CONSTANT LIGHTING MODEL
Niall McLaughlin, Ji Ming, Danny Crookes, Queen's University Belfast, United Kingdom
IVMSP-P14.11: RECOMPRESSING IMAGES TO IMPROVE IMAGE RETRIEVAL PERFORMANCE
David Edmundson, Gerald Schaefer, Loughborough University, United Kingdom
DISPS-L1.1: PARALLEL VIDEO DECODING ON THE EMERGING HEVC STANDARD
Mauricio Alvarez-Mesa, Technische Universität Berlin - Fraunhofer-Institute for Telecommunications Heinrich-Hertz-Institut, Germany; Chi Ching Chi, Ben Juurlink, Technische Universität Berlin, Germany; Valeri George, Thomas Schierl, Fraunhofer-Institute for Telecommunications Heinrich-Hertz-Institut, Germany
DISPS-L1.2: BIDIMENSIONAL MEDIAN FILTER FOR PARALLEL COMPUTING ARCHITECTURES
Ricardo Sanchez, Paul Rodriguez, Pontificia Universidad Catolica del Peru, Peru
DISPS-L1.3: LOOP SCHEDULING OPTIMIZATION FOR CHIP-MULTIPROCESSORS WITH NON-VOLATILE MAIN MEMORY
Yan Wang, Jiayi Du, Jingtong Hu, Qingfeng Zhuge, Edwin Sha, The University of Texas at Dallas, United States
DISPS-L1.4: POLAR FORMAT SYNTHETIC APERTURE RADAR IN ENERGY EFFICIENT APPLICATION-SPECIFIC LOGIC-IN-MEMORY
Qiuling Zhu, Carnegie Mellon University, United States; Christian R. Berger, Marvell Semiconductor, United States; Eric Turner, University of California at Berkeley, United States; Larry Pileggi, Franz Franchetti, Carnegie Mellon University, United States
DISPS-L1.5: PARAMETERIZED SCHEDULING FOR SIGNAL PROCESSING SYSTEMS USING TOPOLOGICAL PATTERNS
Shenpei Wu, Chung-Ching Shen, Nimish Sane, Kelly Davis, Shuvra Bhattacharyya, University of Maryland, United States
DISPS-L1.6: HIERARCHICAL RESAMPLING ARCHITECTURE FOR DISTRIBUTED PARTICLE FILTERS
Ning Zheng, Yun Pan, Xiaolang Yan, Zhejiang University, China; Ruohong Huan, Zhejiang University of Technology, China
DISPS-P1.1: PEDESTRIAN NAVIGATION BASED ON INERTIAL SENSORS, INDOOR MAP, AND WLAN SIGNALS
Helena Leppäkoski, Jussi Collin, Jarmo Takala, Tampere University of Technology, Finland
DISPS-P1.2: A LOW-POWER FPGA IMPLEMENTATION OF EYE TRACKING
Tomoaki Ando, Vasily Moshnyaga, Koji Hashimoto, Fukuoka University, Japan
DISPS-P1.3: A 5.8 GBPS UNIFORM MAPPING DATA CENTER SWITCH
Wei-Chih Lai, Ching-Te Chiu, National Tsing Hua University, Taiwan
DISPS-P1.4: PROGRAMMABLE IMPLEMENTATIONS OF MIMO-OFDM DETECTORS: DESIGN, BENCHMARKING AND COMPARISON
Janne Janhunen, University of Oulu, Finland; Teemu Pitkänen, Tampere University of Technology, Finland; Olli Silvén, Markku Juntti, University of Oulu, Finland
DISPS-P1.5: IMPROVING FIXED-POINT ACCURACY OF FFT CORES IN O-OFDM SYSTEMS
Robert Koutsoyannis, Peter Milder, Christian Berger, Carnegie Mellon University, United States; Madeleine Glick, APIC Corporation, United States; James Hoe, Carnegie Mellon University, United States; Markus Pueschel, ETH Zürich, United States
DISPS-P1.6: LOW-COMPLEXITY AND HIGH-ACCURACY ODD-ORDER VARIABLE FRACTIONAL-DELAY DIGITAL FILTERS
Tian-Bo Deng, Toho University, Japan
DISPS-P1.7: CYCLIC ORTHOGONAL CODES IN CDMA-BASED ASYNCHRONOUS WIRELESS BODY AREA NETWORKS
Ali Tawfiq, University of Toronto, Canada; Jamshid Abouei, Yazd University, Iran; Konstantinos N. Plataniotis, University of Toronto, Canada
DISPS-P1.8: AUTOMATIC GENERATION OF SYNTHESIZABLE HARDWARE IMPLEMENTATION FROM HIGH LEVEL RVC-CAL DESCRIPTION
Khaled Jerbi, Mickaël Raulet, Olivier Déforges, IETR/INSA. UMR CNRS 6164, F-35043 Rennes, France; Mohamed Abid, CES Lab. National Engineering school of Sfax, Tunisia
DISPS-P1.9: LEAST SQUARES BASED CELL-TO-CELL INTERFERENCE CANCELATION TECHNIQUE FOR MULTI-LEVEL CELL NAND FLASH MEMORY
Dong-Hwan Lee, Wonyong Sung, Seoul National University, Republic of Korea
DISPS-P1.10: A FULLY PARALLEL BCH CODEC WITH DOUBLE ERROR CORRECTING CAPABILITY FOR NOR FLASH APPLICATIONS
Chia-Ching Chu, Yi-Min Lin, Chi-Heng Yang, Hsie-Chia Chang, National Chiao Tung University, Taiwan
DISPS-P1.11: SMALL-AREA PARALLEL SYNDROME CALCULATION FOR STRONG BCH DECODING
Youngjoo Lee, Hoyoung Yoo, In-Cheol Park, Korea Advanced Institute of Science and Technology, Republic of Korea
DISPS-P1.12: CYCLE-EFFICIENT LINEARY FEEDBACK SHIFT REGISTER IMPLEMENTATION ON WORD-BASED MICRO-ARCHITECTURE
Jui-Chieh Lin, University of Wisconsin - Madison, United States; Sao-Jie Chen, National Taiwan University, Taiwan; Yu Hen Hu, University of Wisconsin - Madison, United States
DISPS-P2.1: MULTI-USER REAL-TIME SPEECH RECOGNITION WITH A GPU
Jungsuk Kim, Wonyong Sung, Seoul National University, Republic of Korea
DISPS-P2.2: PARALLELIZED RANDOM WALK ALGORITHM FOR BACKGROUND SUBSTITUTION ON A MULTI-CORE EMBEDDED PLATFORM
Yutzu Lee, Chen-Kuo Chiang, Yu-Wei Sun, Te-Feng Su, Shang-Hong Lai, National Tsing Hua University, Taiwan
DISPS-P2.3: EFFICIENT DATA TRANSFER OPERATIONS FOR A SIMD PROCESSOR ARRAY SYSTEM
Hanno Lieske, Shorin Kyo, Shohei Nomoto, Sunao Torii, Yuki Kobayashi, Yasuyuki Ninomiya, Shinichiro Okazaki, Renesas Electronics Corporation, Japan
DISPS-P2.4: A RECONFIGURABLE GPU IMPLEMENTATION FOR TOMLINSON-HARASHIMA PRECODING
Fernando Domene, Sandra Roger, Carla Ramiro, Gema Piñero, Alberto Gonzalez, Institute of Telecommunications and Multimedia Applications, Universitat Politècnica de València, Spain
DISPS-P2.5: A RECURSIVE ALGORITHM FOR PRUNED BIT-REVERSAL PERMUTATIONS
Mohammad Mansour, American University of Beirut, Lebanon
DISPS-P2.6: CORRELATION AND CONVOLUTION OF IMAGE DATA USING FERMAT NUMBER TRANSFORM BASED ON TWO'S COMPLEMENT
Lars Rockstroh, Michael Klaiber, Sven Simon, University of Stuttgart, Germany
DISPS-P2.7: PRACTICAL SENSOR MANAGEMENT FOR AN ENERGY-LIMITED DETECTION SYSTEM
David Jun, Douglas L. Jones, University of Illinois at Urbana-Champaign, United States; Todd Coleman, University of California at San Diego, United States; Wendy Leonard, San Antonio Parks and Recreation Natural Areas, United States; Rama Ratnam, The University of Texas at San Antonio, United States
DISPS-P2.8: VALVED DATAFLOW FOR FPGA MEMORY HIERARCHY SYNTHESIS
Matthew Milford, John McAllister, Queen's University Belfast, United Kingdom
DISPS-P2.9: IMPLEMENTATION CHALLENGES FOR FEEDBACK ACTIVE NOISE CANCELLATION
Nitish Krishnamurthy, Mohamed Mansour, Randy Cole, Texas Instruments, Inc., United States
DISPS-P2.10: GMM FOREGROUND SEGMENTATION PROCESSOR BASED ON ADDRESS FREE PIXEL STREAMS
Ryo Yagi, Tomohito Kajimoto, Takao Nishitani, Tokyo Metropolitan University, Japan
DISPS-P2.11: NEW TECHNIQUES FOR IMPROVING THE PRACTICALITY OF AN SVM-BASED SPEECH/MUSIC CLASSIFIER
Chungsoo Lim, Seong-Ro Lee, Yeon-Woo Lee, Mokpo National University, Republic of Korea; Joon-Hyuk Chang, Hanyang University, Republic of Korea
DISPS-P2.12: SCHEDULING OF DYNAMIC DATAFLOW PROGRAMS BASED ON STATE SPACE ANALYSIS
Johan Ersfolk, Åbo Akademi University, Finland; Ghislain Roquier, École Polytechnique Fédérale de Lausanne, Switzerland; Johan Lilius, Åbo Akademi University, Finland; Marco Mattavelli, École Polytechnique Fédérale de Lausanne, Switzerland
ITT-L1.1: MASS SPECTRA SEPARATION FOR EXPLOSIVES DETECTION BY USING PROBABILISTIC LATENT COMPONENT ANALYSIS
Yohei Kawaguchi, Masahito Togami, Hisashi Nagano, Yuichiro Hashimoto, Masuyuki Sugiyama, Yasuaki Takada, Hitachi, Ltd., Japan
ITT-L1.2: MAXIMUM A POSTERIORI APPROACH FOR ANONYMOUS RFID TAG CARDINALITY ESTIMATION
Chuyen T. Nguyen, Kazunori Hayashi, Megumi Kaneko, Hideaki Sakai, Kyoto University, Japan
ITT-L1.3: DIVER RANGE ESTIMATION BASED ON SHALLOW WATER CAVITATION
Hannan Lohrasbipeydeh, Hamidreza Amindavar, Amirkabir University of Technology, Iran
ITT-L1.4: CONCEALED KNOWLEDGE IDENTIFICATION USING FACIAL THERMAL IMAGING
Uday Jain, Bozhao Tan, Qi Li, Li Creative Technologies, United States
ITT-L1.5: SIGNAL PROCESSING FOR FAULT DETECTION IN PHOTOVOLTAIC ARRAYS
Henry Braun, Santoshi Buddha, Venkatachalam Krishnan, Andreas Spanias, Cihan Tepedelenlioglu, Arizona State University, United States; Ted Yeider, Toru Takehara, PACECO Corporation, United States
ITT-L1.6: CORRECTING ILLUMINATION VARIATIONS IN PHOTOMICROGRAPH MOSAICS OF DAGUERREOTYPES
Orhan Bulan, Robert Buckley, University of Rochester, United States; Ralph Wiegandt, George Eastman House International Museum of Photography and Film, United States; Gaurav Sharma, University of Rochester, United States
ITT-P1.1: ACOUSTIC-BASED PASSIVE POINTING SYSTEM FOR DISTANT SCREENS
Toshiharu Horiuchi, Shinya Takayama, Tsuneo Kato, KDDI R&D Laboratories, Inc., Japan
ITT-P1.2: NOISE REDUCTION FOR DUAL-MICROPHONE MOBILE PHONES EXPLOITING POWER LEVEL DIFFERENCES
Marco Jeub, Christian Herglotz, Christoph Nelke, RWTH Aachen University, Germany; Christophe Beaugeant, Intel Mobile Communications, France; Peter Vary, RWTH Aachen University, Germany
ITT-P1.3: PEAK-PULSE DETECTION ERROR PROBABILITY FOR RFID SAW-TAGS WITH PULSE POSITION CODING
Gustavo Cerda-Villafana, Oscar Ibarra-Manzano, Yuriy Shmaliy, Guanajuato University, Mexico; Victor Plessky, GVR Trade SA, Switzerland
ITT-P1.4: BLIND SOURCE SEPARATION AND ACOUSTIC ECHO CANCELLATION: A UNIFIED FRAMEWORK
Muhammad Ikram, Texas Instruments, Inc., United States
ITT-P1.5: EMBEDDED STEREOSCOPIC 3D CAMERA SYSTEM FOR MOBILE PLATFORMS
Alberto Aguirre, Aziz Umit Batur, Gregory Hewes, Ibrahim Pekkucuksen, Narasimhan Venkatraman, Fred Ware, Buyue Zhang, Texas Instruments, Inc., United States
ITT-P1.6: IMPLEMENTATION OF GENERALIZED DFT ON FIELD PROGRAMMABLE GATE ARRAY
Wes P. Weydig, Qualcomm Inc, United States; Mustafa U. Torun, Ali N. Akansu, New Jersey Institute of Technology, United States
ITT-P1.7: TYPICALITY EXTRACTION IN A SPEAKER BINARY KEYS MODEL
Pierre-Michel Bousquet, Jean-François Bonastre, Université d'Avignon, France
ITT-P1.8: MODEL-BASED CEPSTRAL ANALYSIS FOR ULTRASONIC NON-DESTRUCTIVE EVALUATION OF COMPOSITES
Borja Fuentes, José L. Carmona, Nicolas Bochud, Angel Manuel Gomez Garcia, Antonio M. Peinado, University of Granada, Spain
ITT-P1.9: DESIGNING COMPACT CLASSIFIERS FOR ROTATION-FREE RECOGNITION OF LARGE VOCABULARY ONLINE HANDWRITTEN CHINESE CHARACTERS
Jun Du, Qiang Huo, Kai Chen, Microsoft Research Asia, China
ITT-P1.10: FIXED-POINT SQUARE ROOTS
Abhishek Seth, Woon-Seng Gan, Nanyang Technological University, Singapore
ITT-P1.11: FEATURE SELECTION BASED ON MUTUAL INFORMATION FOR HUMAN ACTIVITY RECOGNITION
Benjamin Fish, Pomona College, United States; Ammar Khan, The University of Minnesota, United States; Nabil Hajj Chehade, Chieh Chien, Greg Pottie, University of California at Los Angeles, United States
IFS-L1.1: COMPRESSION HISTORY IDENTIFICATION FOR DIGITAL AUDIO SIGNAL
Da Luo, Weiqi Luo, Rui Yang, Jiwu Huang, Sun Yat-sen University, China
IFS-L1.2: HIGHLY ACCURATE NON-INTRUSIVE SPEECH FORENSICS FOR CODEC IDENTIFICATIONS FROM OBSERVED DECODED SIGNALS
Frank Jenner, Andres Kwasinski, Rochester Institute of Technology, United States
IFS-L1.3: A TWO DIMENSIONAL CAMERA IDENTIFICATION METHOD BASED ON IMAGE SENSOR NOISE
Lit Hung Chan, Ngai Fong Law, Wan-Chi Siu, The Hong Kong Polytechnic University, Hong Kong SAR of China
IFS-L1.4: A GAME THEORETIC APPROACH TO SOURCE IDENTIFICATION WITH KNOWN STATISTICS
Mauro Barni, University of Siena, Italy
IFS-L1.5: FORENSICS VS. ANTI-FORENSICS: A DECISION AND GAME THEORETIC FRAMEWORK
Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu, University of Maryland Baltimore County, United States
IFS-L1.6: DEALING WITH UNCERTAINTY IN IMAGE FORENSICS: A FUZZY APPROACH
Mauro Barni, Andrea Costanzo, University of Siena, Italy
IFS-L2.1: GEODESIC-BASED ROBUST BLIND WATERMARKING METHOD FOR THREE-DIMENSIONAL MESH ANIMATION BY USING MESH SEGMENTATION AND VERTEX TRAJECTORY
Jen-Sheng Tsai, Jen-Ting Hsiao, Win-Bin Huang, Yau-Hwang Kuo, National Cheng Kung University, Taiwan
IFS-L2.2: CRT-BASED SELF-RECOVERY WATERMARKING TECHNIQUE FOR MULTIMEDIA APPLICATIONS
Banani Patra, IBM, Singapore; Jagdish C. Patra, Swinburne University of Technology, Australia
IFS-L2.3: A NOVEL QUANTIZATION WATERMARKING SCHEME BY MODULATING THE NORMALIZED CORRELATION
Xinshan Zhu, Shuoling Peng, Yangzhou University, China
IFS-L2.4: PRACTICAL KEY LENGTH OF WATERMARKING SYSTEMS
Patrick Bas, CNRS-LAGIS, France; Teddy Furon, INRIA, France; François Cayre, GIPSA-Lab Grenoble-INP, France
IFS-L2.5: INVISIBLE FLOW WATERMARKS FOR CHANNELS WITH DEPENDENT SUBSTITUTION AND DELETION ERRORS
Xun Gong, Mavis Rodrigues, Negar Kiyavash, University of Illinois at Urbana-Champaign, United States
IFS-L2.6: ADAPTIVE ITERATIVE DETECTION METHOD FOR SPREAD SPECTRUM FINGERPRINTING SCHEME
Minoru Kuribayashi, Kobe University, Japan
IFS-P1.1: A CONTENT-ADAPTIVE ±1-BASED STEGANOGRAPHY BY MINIMIZING THE DISTORTION OF FIRST ORDER STATISTICS
Xinlu Gui, Xiaolong Li, Bin Yang, Peking University, China
IFS-P1.2: AN EFFICIENT JPEG STEGANOGRAPHIC SCHEME BASED ON THE BLOCK ENTROPY OF DCT COEFFICIENTS
Chang Wang, Jiangqun Ni, Sun Yat-sen University, China
IFS-P1.3: A SUBOPTIMAL EMBEDDING ALGORITHM WITH LOW COMPLEXITY FOR BINARY DATA HIDING
Jyun-Jie Wang, Houshou Chen, National Chung Hsing University, Taiwan
IFS-P1.4: HIDDEN INFORMATION DETECTION BASED ON QUANTIZED LAPLACIAN DISTRIBUTION
Cathel Zitzmann, Remi Cogranne, Lionel Fillatre, Igor Nikiforov, Florent Retraint, Philippe Cornu, Troyes University of Technology, France
IFS-P1.5: SECURITY OF CASS DATA HIDING SCHEME UNDER THE SCENARIOS OF KMA AND WOA
Dong Zhang, Sun Yat-sen University, China; Dah-Jye Lee, Brigham Young University, United States
IFS-P1.6: UNSEEN VISIBLE WATERMARKING FOR COLOR PLUS DEPTH MAP 3D IMAGES
Yu-Hsun Lin, Ja-Ling Wu, National Taiwan University, Taiwan
IFS-P1.7: AN INFORMED UNIPOLAR SPREAD SPECTRUM MODULATION FOR SELF-SYNCHRONIZED ROBUST WATERMARKING
Peng Zhang, Shuzheng Xu, Huazhong Yang, Tsinghua University, China
IFS-P1.8: ON THE DETERMINATION OF CAPACITY PARAMETERS IN PEE-BASED REVERSIBLE IMAGE WATERMARKING
Jiantao Zhou, Oscar C. Au, Hong Kong University of Science and Technology, Hong Kong SAR of China
IFS-P1.9: TEXTURE ORIENTATION MODULATION FOR HALFTONING WATERMARKING
Jing-Ming Guo, Chang-Cheng Su, Yun-Fu Liu, National Taiwan University of Science and Technology, Taiwan
IFS-P2.1: ENLARGING HACKER'S TOOLBOX: DELUDING IMAGE RECOGNITION BY ATTACKING KEYPOINT ORIENTATIONS
Thanh-Toan Do, Ewa Kijak, Universite de Rennes 1 - IRISA, France; Laurent Amsaleg, CNRS, France; Teddy Furon, INRIA Rennes Bretagne Atlantique, France
IFS-P2.2: ATTACKING A PRIVACY PRESERVING MUSIC MATCHING ALGORITHM
José Portêlo, IST/INESC-ID Lisboa, Portugal; Bhiksha Raj, Carnegie Mellon University, United States; Isabel Trancoso, IST/INESC-ID Lisboa, Portugal
IFS-P2.3: ENHANCEMENT OF METHOD FOR PREVENTING ILLEGAL RECORDING OF MOVIES TO ENABLE IT TO DETECT CAMERAS WITH ATTACHED INFRARED-CUT FILTER
Takayuki Yamada, Graduate University for Advanced Studies, Japan; Seiichi Gohshi, Kogakuin University, Japan; Isao Echizen, Graduate University for Advanced Studies / National Institute of Informatics, Japan
IFS-P2.4: MODEL-BASED DECODING METRICS FOR CONTENT IDENTIFICATION
Rohit Naini, Pierre Moulin, University of Illinois, United States
IFS-P2.5: RECORDING ENVIRONMENT IDENTIFICATION USING ACOUSTIC REVERBERATION
Hafiz Malik, Hong Zhao, University of Michigan at Dearborn, United States
IFS-P2.6: FORENSIC IDENTIFICATION OF COMPRESSIVELY SENSED IMAGES
Xiaoyu Chu, Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu, University of Maryland Baltimore County, United States
IFS-P2.7: DETECTING SPLICING IN DIGITAL AUDIOS USING LOCAL NOISE LEVEL ESTIMATION
Xunyu Pan, Xing Zhang, Siwei Lyu, Stony Brook University Albany, United States
IFS-P3.1: A NOVEL EYE REGION BASED PRIVACY PROTECTION SCHEME
Dohyoung Lee, Konstantinos N. Plataniotis, University of Toronto, Canada
IFS-P3.2: PRIVACY-PRESERVING SPEAKER VERIFICATION AS PASSWORD MATCHING
Manas Pathak, Bhiksha Raj, Carnegie Mellon University, United States
IFS-P3.3: A STUDY OF AUTOMATIC PHONETIC SEGMENTATION FOR FORENSIC VOICE COMPARISON
Chee Cheun Huang, Julien Epps, The University of New South Wales, Australia
IFS-P3.4: LIMITATION INVESTIGATION TOWARD LIPS RECOGNITION
Yun-Fu Liu, Chao-Yu Lin, Jing-Ming Guo, National Taiwan University of Science and Technology, Taiwan
IFS-P3.5: FORENSIC IDENTIFICATION WITH ENVIRONMENTAL SAMPLES
Gregory Ditzler, Gail Rosen, Drexel University, United States; Robi Polikar, Rowan University, United States
IFS-P3.6: A CONCATENATED CODING SCHEME FOR BIOMETRIC TEMPLATE PROTECTION
Xiaoying Shao, Haiyun Xu, Raymond N.J. Veldhuis, Cornelis H. Slump, University of Twente, Netherlands
IFS-P3.7: A GRADIENT DESCENT BASED APPROACH TO SECURE LOCALIZATION IN MOBILE SENSOR NETWORKS
Ravi Garg, Avinash Varna, Min Wu, University of Maryland, United States
IFS-P3.8: ON THE IDENTIFIABILITY OF MULTI-OBSERVER HIDDEN MARKOV MODELS
Hung X Nguyen, Matthew Roughan, The University of Adelaide, Australia
IFS-P3.9: SECRECY CAPACITY OF WIRETAP CHANNELS WITH ADDITIVE COLORED GAUSSIAN NOISE
Hachiro Fujita, Tokyo Metropolitan University, Japan
MLSP-L1.1: A FAMILY OF BOUNDED COMPONENT ANALYSIS ALGORITHMS
Alper T. Erdogan, Koc University, Turkey
MLSP-L1.2: AN EFFECTIVE DECOUPLING METHOD FOR MATRIX OPTIMIZATION AND ITS APPLICATION TO THE ICA PROBLEM
Matthew Anderson, Xi-Lin Li, UMBC, United States; Pedro A. Rodriguez, University of Maryland Baltimore County, United States; Tulay Adali, UMBC, United States
MLSP-L1.3: COMPLEX NON-ORTHOGONAL JOINT DIAGONALIZATION WITH SUCCESSIVE GIVENS AND HYPERBOLIC ROTATIONS
Xiao-Feng Gong, Ke Wang, Qiu-Hua Lin, Dalian University of Technology, China
MLSP-L1.4: LOW-RANK BLIND NONNEGATIVE MATRIX DECONVOLUTION
Anh Huy Phan, Brain Science Institute, Japan; Petr Tichavsky, Institute of Information Theory and Automation, Czech Republic; Andrzej Cichocki, Brain Science Institute, Japan; Zbynek Koldovsky, Technical University of Liberec, Czech Republic
MLSP-L1.5: DYNAMIC MATRIX FACTORIZATION: A STATE SPACE APPROACH
John Sun, Massachusetts Institute of Technology, United States; Kush Varshney, Karthik Subbian, IBM T.J. Watson Research Center, United States
MLSP-L1.6: HIERARCHICAL VARIATIONAL BAYESIAN MATRIX CO-FACTORIZATION
Jiho Yoo, Seungjin Choi, Pohang University of Science and Technology, Republic of Korea
MLSP-L2.1: ADAPTIVE KERNEL PRINCIPAL COMPONENTS TRACKING
Toshihisa Tanaka, TUAT, Japan; Yoshikazu Washizawa, UEC, Japan; Anthony Kuh, University of Hawaii, United States
MLSP-L2.2: BASIS VECTOR ORTHOGONALIZATION FOR AN IMPROVED KERNEL GRADIENT MATCHING PURSUIT METHOD
Yotaro Kubo, Shinji Watanabe, Atsushi Nakamura, NTT Corporation, Japan; Simon Wiesler, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
MLSP-L2.3: TUNING-FREE JOINT SPARSE RECOVERY VIA OPTIMIZATION TRANSFER
Evgenia Chunikhina, Gregory Gutshall, Raviv Raich, Thinh Nguyen, Oregon State University, United States
MLSP-L2.4: FEATURE SELECTION FOR COMPOSITE HYPOTHESIS TESTING WITH SMALL SAMPLES: FUNDAMENTAL LIMITS AND ALGORITHMS
Dayu Huang, Sean Meyn, University of Illinois at Urbana-Champaign, United States
MLSP-L2.5: A HETEROSCEDASTIC EXTENSION OF LDA BASED ON MULTI-CLASS MATUSITA AFFINITY
Mohammad Shahin Mahanta, Konstantinos N. Plataniotis, University of Toronto, Canada
MLSP-L2.6: A MODE-BASED CLUSTERING ALGORITHM WITHOUT MODE SEEKING
Esra Ataer-Cansizoglu, Deniz Erdogmus, Northeastern University, United States
MLSP-L3.1: MUSIC GENRE CLASSIFICATION USING SELF-TAUGHT LEARNING VIA SPARSE CODING
Konstantin Markov, University of Aizu, Japan; Tomoko Matsui, Institute of Statistical Mathematics, Japan
MLSP-L3.2: ACOUSTIC MODEL TRANSFORMATIONS BASED ON RANDOM PROJECTIONS
Tetsuya Takiguchi, Mariko Yoshii, Yasuo Ariki, Kobe University, Japan; Jeff Bilmes, University of Washington, United States
MLSP-L3.3: SPEAKER STATES RECOGNITION USING LATENT FACTOR ANALYSIS BASED EIGENCHANNEL FACTOR VECTOR MODELING
Ming Li, Angeliki Metallinou, Daniel Bone, Shrikanth Narayanan, University of Southern California, United States
MLSP-L3.4: FACIAL AGE ESTIMATION BASED ON LABEL-SENSITIVE LEARNING AND AGE-SPECIFIC LOCAL REGRESSION
Wei-Lun Chao, Jun-Zuo Liu, Jian-Jiun Ding, National Taiwan University, Taiwan
MLSP-L3.5: KERNEL LINEAR REGRESSION FOR LOW RESOLUTION FACE RECOGNITION UNDER VARIABLE ILLUMINATION
Shih-Ming Huang, Jar-Ferr Yang, National Cheng Kung University, Taiwan
MLSP-L3.6: MULTI-VIEW FACE POSE CLASSIFICATION BY BOOSTING WITH WEAK HYPOTHESIS FUSION USING VISUAL AND INFRARED IMAGES
Yixiao Yun, Irene Gu, Chalmers University of Technology, Sweden
MLSP-P1.1: AUDIO EVENT DETECTION BASED ON LAYERED SYMBOLIC SEQUENCE REPRESENTATIONS
Michele Lai Chin, Juan José Burred, Audionamix, France
MLSP-P1.2: LEARNING IMPROVED LINEAR TRANSFORMS FOR SPEECH RECOGNITION
Andrew Senior, Google, Inc., United States; Youngmin Cho, University of California at San Diego, United States; Jason Weston, Google, Inc., United States
MLSP-P1.3: ONLINE DISCRIMINATIVE LEARNING OF PHONEME RECOGNITION VIA COLLECTIONS OF GENERALIZED LINEAR MODELS
Koby Crammer, Technion, Israel; Daniel Lee, University of Pennsylvania, United States
MLSP-P1.4: WEAKLY SUPERVISED NEURAL NETWORKS FOR PART-OF-SPEECH TAGGING
Sumit Chopra, Srinivas Bangalore, AT&T Labs Research, United States
MLSP-P1.5: CLUSTER AWARE NORMALIZATION FOR ENHANCING AUDIO SIMILARITY
Mathieu Lagrange, IRCAM CNRS, France; Luis Gustavo Martins, Portuguese Catholic University - School of Arts/CITAR, Portugal; George Tzanetakis, University of Victoria, Canada
MLSP-P1.6: NOISE-ROBUST DYNAMIC TIME WARPING USING PLCA FEATURES
Brian King, University of Washington / Adobe Systems Inc., United States; Paris Smaragdis, University of Illinois at Urbana-Champaign / Adobe Systems Inc., United States; Gautham J. Mysore, Adobe Systems Inc., United States
MLSP-P1.7: A PREDICTIVE MODEL OF MUSIC PREFERENCE USING PAIRWISE COMPARISONS
Bjørn Sand Jensen, Javier Saez Gallego, Jan Larsen, Technical University of Denmark, Denmark
MLSP-P1.8: A FRAMEWORK FOR UNSUPERVISED TRANSFER LEARNING AND APPLICATION TO DIALOG DECISION CLASSIFICATION
Etienne Marcheret, Om D Deshmukh, Vaibhava Goel, Jiri Navratil, IBM, United States
MLSP-P1.9: LOW-POWER SVM CLASSIFIERS FOR SOUND EVENT CLASSIFICATION ON MOBILE DEVICES
Man-Wai Mak, The Hong Kong Polytechnic University, Hong Kong SAR of China; Sun-Yuan Kung, Princeton University, United States
MLSP-P1.10: KERNEL MULTI-METRIC LEARNING FOR MULTI-CHANNEL TRANSIENT ACOUSTIC SIGNAL CLASSIFICATION
Haichao Zhang, Yanning Zhang, Northwestern Polytechnical University, China; Nasser M. Nasrabadi, U.S. Army Research Laboratory, United States; Thomas Huang, University of Illinois at Urbana-Champaign, United States
MLSP-P1.11: FBEM: A FILTER BANK EM ALGORITHM FOR THE JOINT OPTIMIZATION OF FEATURES AND ACOUSTIC MODEL PARAMETERS IN BIRD CALL CLASSIFICATION
Wei Chu, Abeer Alwan, University of California at Los Angeles, United States
MLSP-P1.12: A MUSIC RETRIEVAL SYSTEM USING CHROMA AND PITCH FEATURES BASED ON CONDITIONAL RANDOM FIELDS
Kouhei Sumi, Miki Arai, Takuya Fujishima, Seiichi Hashimoto, Yamaha Corporation, Japan
MLSP-P2.1: VARIANCE ANALYSES FOR KERNEL REGRESSORS WITH NESTED REPRODUCING KERNEL HILBERT SPACES
Akira Tanaka, Hideyuki Imai, Hokkaido Univerisity, Japan; Koji Takamiya, Niigata University, Japan
MLSP-P2.2: LINEAR COORDINATE-DESCENT MESSAGE-PASSING FOR QUADRATIC OPTIMIZATION
Guoqiang Zhang, Richard Heusdens, Delft University of Technology, Netherlands
MLSP-P2.3: GENERALIZED LINEAR COORDINATE-DESCENT MESSAGE-PASSING FOR CONVEX OPTIMIZATION
Guoqiang Zhang, Richard Heusdens, Delft University of Technology, Netherlands
MLSP-P2.4: LARGE COVARIANCE MATRIX ESTIMATION: BRIDGING SHRINKAGE AND TAPERING APPROACHES
Xiaohui Chen, Z. Jane Wang, Martin J. McKeown, The University of British Columbia, Canada
MLSP-P2.5: NEW H8 BOUNDS FOR THE RECURSIVE LEAST SQUARES ALGORITHM EXPLOITING INPUT STRUCTURE
Koby Crammer, Technion, Israel; Alex Kulesza, University of Pennsylvania, United States; Mark Dredze, The Johns Hopkins University, United States
MLSP-P2.6: KERNEL DICTIONARY LEARNING
Hien Van Nguyen, Vishal M. Patel, University of Maryland, United States; Nasser M. Nasrabadi, U.S. Army Research Laboratory, United States; Rama Chellappa, University of Maryland, United States
MLSP-P2.7: LEARNING RIDGE FUNCTIONS WITH RANDOMIZED SAMPLING IN HIGH DIMENSIONS
Hemant Tyagi, Volkan Cevher, Swiss Institute of Technology, Switzerland
MLSP-P2.8: ANTI-SPARSE CODING FOR APPROXIMATE NEAREST NEIGHBOR SEARCH
Hervé Jégou, Teddy Furon, INRIA, France; Jean-Jacques Fuchs, Université de Rennes 1, France
MLSP-P2.9: NONNEGATIVE MATRIX FACTORIZATION USING A ROBUST ERROR FUNCTION
Chris Ding, Deguang Kong, The University of Texas at Arlington, United States
MLSP-P2.10: DICTIONARY LEARNING AND UPDATE BASED ON SIMULTANEOUS CODEWORD OPTIMIZATION (SIMCO)
Wei Dai, Imperial College London, United Kingdom; Tao Xu, Wenwu Wang, University of Surrey, United Kingdom
MLSP-P2.11: TRACKING CORRELATED EQUILIBRIA IN CLUSTERED MULTI-AGENT NETWORKS VIA ADAPTIVE FILTERING ALGORITHMS
Omid Namvar Gharehshiran, Vikram Krishnamurthy, University of British Columbia, Canada
MLSP-P2.12: HYPERSPHERE DISTRIBUTION DISCRIMINANT ANALYSIS
Yi-I Chiu, National Cheng Kung University, Taiwan; Chun-Rong Huang, National Chung Hsing University, Taiwan; Pau-Choo Chung, Ching-Hsing Luo, National Cheng Kung University, Taiwan
MLSP-P3.1: TOTALLY-CORRECTIVE BOOSTING USING CONTINUOUS-VALUED WEAK LEARNERS
Chensheng Sun, The Hong Kong Polytechnic University, Hong Kong SAR of China; Sanyuan Zhao, Beijing Institute of Technology, China; Jiwei Hu, Kin-Man Lam, The Hong Kong Polytechnic University, Hong Kong SAR of China
MLSP-P3.2: A SINGLE-CLASS SVM BASED ALGORITHM FOR COMPUTING AN IDENTIFIABLE NMF
Slim Essid, Télécom ParisTech, France
MLSP-P3.3: BINARY CLASSIFICATION BY MINIMIZING THE MEAN SQUARED SLACK
Konstantinos Diamantaras, Margarita Kotti, TEI of Thessaloniki, Greece
MLSP-P3.4: GENERALIZED K-LABELSET ENSEMBLE FOR MULTI-LABEL CLASSIFICATION
Hung-Yi Lo, Academia Sinica, Taiwan; Shou-De Lin, National Taiwan University, Taiwan; Hsin-Min Wang, Academia Sinica, Taiwan
MLSP-P3.5: ON EFFICIENT LEARNING AND CLASSIFICATION KERNEL METHODS
Sun-Yuan Kung, Pei-Yuan Wu, Princeton University, United States
MLSP-P3.6: MODELING HIERARCHICAL AND HETEROGENEOUS FEATURE REPRESENTATION WITH CONDITIONAL RANDOM FIELD FOR VISUAL OBJECT DETECTION
Yaping Zhu, Communication University of China, China; Steve Pan, Southeast University, China; Jianping Chai, Communication University of China, China
MLSP-P3.7: RELIABLE EARLY CLASSIFICATION OF TIME SERIES
Hyrum Anderson, Sandia National Labs, United States; Nathan Parrish, Kristi Tsukida, Maya Gupta, University of Washington, United States
MLSP-P3.8: COMPUTATIONALLY EFFICIENT MULTI-LABEL CLASSIFICATION BY LEAST-SQUARES PROBABILISTIC CLASSIFIER
Hyunha Nam, Hirotaka Hachiya, Masashi Sugiyama, Tokyo Institute of Technology, Japan
MLSP-P3.9: INCREASING VIRTUAL SAMPLES THROUGH LOSS SMOOTHNESS DETERMINATION IN LARGE GEOMETRIC MARGIN MINIMUM CLASSIFICATION ERROR TRAINING
Tsukasa Ohashi, Doshisha University, Japan; Hideyuki Watanabe, National Institute of Information and Communications Technology, Japan; Jun'ichi Tokuno, Shigeru Katagiri, Miho Ohsaki, Doshisha University, Japan; Shigeki Matsuda, Hideki Kashioka, National Institute of Information and Communications Technology, Japan
MLSP-P3.10: DETECTING ACTIVITY-BASED COMMUNITIES USING DYNAMIC MEMBERSHIP PROPAGATION
Scott Philips, Michael Yee, Edward Kao, Christian Anderson, MIT Lincoln Laboratory, United States
MLSP-P3.11: MULTI-AFFINITY SPECTRAL CLUSTERING
Hsin-Chien Huang, Yung-Yu Chuang, National Taiwan University, Taiwan; Chu-Song Chen, Academia Sinica, Taiwan
MLSP-P3.12: K-SEARCH: SEARCHING FOR CLUSTERS
Rhonda Phillips, Bijaya Zenchenko, MIT Lincoln Laboratory, United States
MLSP-P4.1: LEARNING SPARSE REPRESENTATIONS FOR ADAPTIVE COMPRESSIVE SENSING
Akshay Soni, Jarvis Haupt, University of Minnesota Twin Cities, United States
MLSP-P4.2: OPTIMIZED WEIGHTED DECODING FOR ERROR-CORRECTING OUTPUT CODES
Xiao-Lei Zhang, Ji Wu, Zhi-Peng Chen, Ping Lv, Tsinghua University, China
MLSP-P4.3: HIERARCHICAL UNSUPERVISED DISCOVERY OF USER CONTEXT FROM MULTIVARIATE SENSORY DATA
Okko Räsänen, Aalto University, Finland
MLSP-P4.4: TENSOR FACTORIZATION FOR MISSING DATA IMPUTATION IN MEDICAL QUESTIONNAIRES
Justin Dauwels, Lalit Garg, Nanyang Technological University, Singapore; Arul Earnest, Duke-NUS Graduate Medical School, Singapore; Khai Pang Leong, Tan Tock Seng Hospital, Singapore
MLSP-P4.5: CONTEXTUAL HIDDEN MARKOV MODELS
Mathieu Radenen, Thierry Artières, Université Pierre et Marie Curie, France
MLSP-P4.6: ON QUATERNION ANALYTICITY: ENABLING QUATERNION-VALUED NONLINEAR ADAPTIVE FILTERING
Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic, Imperial College London, United Kingdom
MLSP-P4.7: TUNING-FREE STEP-SIZE ADAPTATION
Ashique Rupam Mahmood, Richard S. Sutton, Thomas Degris, Patrick M. Pilarski, University of Alberta, Canada
MLSP-P4.8: FEATURE EXTRACTION USING DISTRIBUTION REPRESENTATION FOR COLORIMETRIC SENSOR ARRAYS USED AS EXPLOSIVES DETECTORS
Tommy S. Alstrøm, Technical University of Denmark, Denmark; Raviv Raich, Oregon State University, United States; Natalie V. Kostesha, Jan Larsen, Technical University of Denmark, Denmark
MLSP-P4.9: CONTINUOUS SPACE DISCRIMINATIVE LANGUAGE MODELING
Puyang Xu, Sanjeev Khudanpur, The Johns Hopkins University, United States; Maider Lehr, Emily Prud'hommeaux, Oregon Health and Science University, United States; Nathan Glenn, Brigham Young University, United States; Damianos Karakos, The Johns Hopkins University, United States; Brian Roark, Oregon Health and Science University, United States; Kenji Sagae, University of Southern California, United States; Murat Saraçlar, Bogaziçi University, Turkey; Izhak Shafran, Oregon Health and Science University, United States; Daniel Bikel, Google, Inc., United States; Chris Callison-Burch, Yuan Cao, The Johns Hopkins University, United States; Keith Hall, Google, Inc., United States; Eva Hasler, Philipp Koehn, Edinburgh University, United Kingdom; Adam Lopez, Matt Post, The Johns Hopkins University, United States; Darcey Riley, Rochester Institute of Technology, United States
MLSP-P4.10: SCALABLE STACKING AND LEARNING FOR BUILDING DEEP ARCHITECTURES
Li Deng, Dong Yu, John Platt, Microsoft Research, United States
MLSP-P4.11: FAST LASSO SCREENING TESTS BASED ON CORRELATIONS
Zhen James Xiang, Peter Ramadge, Princeton University, United States
MLSP-P4.12: A FLANN-BASED CONTROLLER FOR MAXIMUM POWER POINT TRACKING IN PV SYSTEMS UNDER RAPIDLY CHANGING CONDITIONS
Lian Lian Jiang, Douglas L. Maskell, Nanyang Technological University, Singapore; Jagdish C. Patra, Swinburne University of Technology, Australia
MLSP-P5.1: SEMI-SUPERVISED MULTI-DOMAIN REGRESSION WITH DISTINCT TRAINING SETS
Tomer Michaeli, Yonina C. Eldar, Technion – Israel Institute of Technology, Israel; Guillermo Sapiro, University of Minnesota, United States
MLSP-P5.2: A BAYESIAN APPROACH FOR GAS CONCENTRATION RECONSTRUCTION BASED ON TUNABLE DIODE LASER ABSORPTION SPECTROSCOPY
Chao Yuan, Siemens Corporate Research, United States
MLSP-P5.3: HANDLING INCOMPLETE MATRIX DATA VIA CONTINUOUS-VALUED INFINITE RELATIONAL MODEL
Tomohiko Suzuki, Takuma Nakamura, Yasutoshi Ida, Takashi Matsumoto, Waseda University, Japan
MLSP-P5.4: ONLINE BAYESIAN DICTIONARY LEARNING FOR LARGE DATASETS
Lingbo Li, Jorge Silva, Mingyuan Zhou, Lawrence Carin, Duke University, United States
MLSP-P5.5: ORDER DETECTION FOR DEPENDENT SAMPLES USING ENTROPY RATE
Gengshen Fu, Hualiang Li, Matthew Anderson, Tulay Adali, University of Maryland, United States
MLSP-P5.6: LOW-RANK DATA MODELING VIA THE MINIMUM DESCRIPTION LENGTH PRINCIPLE
Ignacio Ramirez, Guillermo Sapiro, University of Minnesota, United States
MLSP-P5.7: DIMENSION REDUCTION IN REGRESSION USING GAUSSIAN MIXTURE MODELS
Majid Mirbagheri, Yanbo Xu, Shihab Shamma, University of Maryland College Park, United States
MLSP-P5.8: DECOMPOSING SIGNALS INTO A SUM OF AMPLITUDE AND FREQUENCY MODULATED SINUSOIDS USING PROBABILISTIC INFERENCE
Richard Turner, University of Cambridge, United Kingdom; Maneesh Sahani, University College London, United Kingdom
MLSP-P5.9: COPULA GAUSSIAN GRAPHICAL MODELS WITH HIDDEN VARIABLES
Hang Yu, Justin Dauwels, Xueou Wang, Nanyang Technological University, Singapore
MLSP-P5.10: A FIXED-BUDGET QUANTIZED KERNEL LEAST MEAN SQUARE ALGORITHM
Songlin Zhao, Badong Chen, Jose Principe, University of Florida, United States
MLSP-P5.11: PREDICTION OF TIME SERIES USING YULE-WALKER EQUATIONS WITH KERNELS
Maya Kallas, Université de Technologie de Troyes / Université Libanaise, France; Paul Honeine, Université de Technologie de Troyes, France; Cédric Richard, Université de Nice Sophia-Antipolis, France; Clovis Francis, Hassan Amoud, Université Libanaise, Lebanon
MLSP-P5.12: TRANSFER CROSS ENTROPY FOR FAST SOCIOMETRIC INFERENCE IN LONGITUDINAL COLLECTIONS OF MULTI-PARTY CONVERSATION
Kornel Laskowski, Carnegie Mellon University, United States
MLSP-P6.1: DISCRIMINANT SPARSE CODING FOR IMAGE CLASSIFICATION
Baodi Liu, Yu-Xiong Wang, Yu-Jin Zhang, Yin Zheng, Tsinghua University, China
MLSP-P6.2: A MULTI-BOOSTED HMM APPROACH TO LIP PASSWORD BASED SPEAKER VERIFICATION
Xin Liu, Yiu-Ming Cheung, Hong Kong Baptist University, Hong Kong SAR of China
MLSP-P6.3: EATING AND DRINKING ACTIVITY RECOGNITION BASED ON DISCRIMINANT ANALYSIS OF FUZZY DISTANCES AND ACTIVITY VOLUMES
Alexandros Iosifidis, Ermioni Marami, Anastasios Tefas, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
MLSP-P6.4: FACE RECOGNITION BASED ON SEPARABLE LATTICE 2-D HMMS USING VARIATIONAL BAYESIAN METHOD
Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan
MLSP-P6.5: FACE RECOGNITION BASED ON EXTENDED SEPARABLE LATTICE 2-D HMMS
Keisuke Kumaki, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan
MLSP-P6.6: DATA-DRIVEN TREE-STRUCTURED BAYESIAN NETWORK FOR IMAGE SEGMENTATION
Kittipat Kampa, Jose Principe, University of Florida, United States; Duangmanee Putthividhya, eBay Inc., United States; Anand Rangarajan, University of Florida, United States
MLSP-P6.7: LEARNING EXPRESSION KERNELS FOR FACIAL EXPRESSION INTENSITY ESTIMATION
Chia-Te Liao, Hui-Ju Chuang, Shang-Hong Lai, National Tsing Hua University, Taiwan
MLSP-P6.8: FACE RECOGNITION FROM VIDEO: AN MMV RECOVERY APPROACH
Angshul Majumdar, Rabab Ward, University of British Columbia, Canada
MLSP-P6.9: DATA-DRIVEN ANALYSIS AND VISUALIZATION OF COMPLEX FMRI DATA: APPLICATION TO AN EVENT-RELATED PARADIGM
Pedro A. Rodriguez, University of Maryland Baltimore County, United States; Vince D. Calhoun, The Mind Research Network and The University of New Mexico, United States; Tulay Adali, University of Maryland Baltimore County, United States
MLSP-P6.10: GOASVM: PROTEIN SUBCELLULAR LOCALIZATION PREDICTION BASED ON GENE ONTOLOGY ANNOTATION AND SVM
Shibiao Wan, Man-Wai Mak, The Hong Kong Polytechnic University, Hong Kong SAR of China; Sun-Yuan Kung, Princeton University, United States
MLSP-P6.11: EXTRACTING EFFECTIVE FEATURES FROM HIGH DENSITY NIRS-BASED BCI FOR ASSESSING NUMERICAL COGNITION
Kai Keng Ang, Juanhong Yu, Cuntai Guan, Institute for Infocomm Research, A*STAR, Singapore
MLSP-P6.12: A TREE-BASED DISTANCE BETWEEN DISTRIBUTIONS: APPLICATION TO CLASSIFICATION OF NEURONS
Riwal Lefort, François Fleuret, IDIAP Research Institute, Switzerland
MMSP-L1.1: CARDIAC BIOMETRIC SECURITY IN WELFARE MONITORING
Foteini Agrafioti, Dimitrios Hatzinakos, University of Toronto, Canada; Francis Bui, University of Saskatchewan, Canada
MMSP-L1.2: TWO-LAYER FRAGILE WATERMARKING METHOD FOR ENHANCED TAMPERING LOCALISATION
Sergio Bravo-Solorio, Asoke K. Nandi, The University of Liverpool, United Kingdom
MMSP-L1.3: TRANSIENT OTOACOUSTIC EMISSIONS FOR BIOMETRIC RECOGNITION
Jiexin Gao, Foteini Agrafioti, Siyuan Wang, Dimitrios Hatzinakos, University of Toronto, Canada
MMSP-L1.4: DISCRIMINATING MULTIPLE JPEG COMPRESSION USING FIRST DIGIT FEATURES
Simone Milani, Marco Tagliasacchi, Stefano Tubaro, Politecnico di Milano, Italy
MMSP-L1.5: VIDEO CODEC IDENTIFICATION
Paolo Bestagini, Ahmed Allam, Simone Milani, Marco Tagliasacchi, Stefano Tubaro, Politecnico di Milano, Italy
MMSP-L2.1: A HYBRID PHONEME BASED CLUSTERING APPROACH FOR AUDIO DRIVEN FACIAL ANIMATION
Benjamin Havell, Paul Rosin, Saeid Sanei, Andrew Aubrey, David Marshall, Yulia Hicks, Cardiff University, United Kingdom
MMSP-L2.2: CLASSIFICATION OF EMOTIONAL CONTENT OF SIGHS IN DYADIC HUMAN INTERACTIONS
Rahul Gupta, Chi-Chun Lee, Shrikanth Narayanan, University of Southern California, United States
MMSP-L2.3: AN ADVANCED VIRTUAL DANCE PERFORMANCE EVALUATOR
Slim Essid, Télécom ParisTech, France; Dimitrios Alexiadis, ITI, Greece; Robin Tournemenne, Télécom ParisTech, France; Marc Gowing, Philip Kelly, David Monaghan, Dublin City University, Ireland; Petros Daras, ITI, Greece; Angélique Drémeau, Télécom ParisTech, France; Noel O'connor, Dublin City University, Ireland
MMSP-L2.4: MULTIMODAL CITY-VERIFICATION ON FLICKR VIDEOS USING ACOUSTIC AND TEXTUAL FEATURES
Howard Lei, Jaeyoung Choi, Gerald Friedland, International Computer Science Institute, United States
MMSP-L2.5: IMPROVING FASTER-THAN-REAL-TIME HUMAN ACOUSTIC EVENT DETECTION BY SALIENCY-MAXIMIZED AUDIO VISUALIZATION
Kai-Hsiang Lin, Xiaodan Zhuang, Camille Goudeseune, Sarah King, Mark Hasegawa-Johnson, Thomas Huang, University of Illinois at Urbana-Champaign, United States
MMSP-L2.6: EVALUATION OF A 3D VISUALIZATION BASED MEASUREMENT TECHNIQUE FOR SOURCE LOCALIZATION
Shuai Wang, Deep Sen, University of New South Wales, Australia
MMSP-P1.1: INCENTIVE ANALYSIS FOR COOPERATIVE DISTRIBUTION OF INTERACTIVE MULTIVIEW VIDEO
Bo Hu, University of Alberta, Canada; Gene Cheung, National Institute of Informatics, Japan; Vicky Zhao, University of Alberta, Canada
MMSP-P1.2: SELECTIVE FREEZING OF IMPAIRED VIDEO FRAMES USING LOW-RATE SHIFT-INVARIANT HINT
Mina Makar, Stanford University, United States; Wai-tian Tan, Hewlett Packard, United States
MMSP-P1.3: A GAME THEORETIC FRAMEWORK FOR OPTIMAL RESOURCE ALLOCATION IN P2P SCALABLE VIDEO STREAMING
Stefano Asioli, Naeem Ramzan, Ebroul Izquierdo, Queen Mary University of London, United Kingdom
MMSP-P1.4: A CHEAT-PROOF GAME-THEORETIC FRAMEWORK FOR COOPERATIVE PEER-TO-PEER VIDEO STREAMING
Yang Gao, Yan Chen, K. J. Ray Liu, University of Maryland, United States
MMSP-P1.5: WIFI FINGERPRINT INDOOR POSITIONING SYSTEM USING PROBABILITY DISTRIBUTION COMPARISON
Nicolas Le Dortz, Supélec, France; Florian Gain, Per Zetterberg, Royal Institute of Technology, Sweden
MMSP-P1.6: ACCURATE POSITIONING SYSTEM BASED ON STREET VIEW RECOGNITION
Chia-Hsiang Lee, Yu-Chi Su, Liang-Gee Chen, National Taiwan University, Taiwan
MMSP-P1.7: A FRAMEWORK FOR JOINT MULTIPLE DESCRIPTION CODING AND NETWORK CODING OVER WIRELESS AD-HOC NETWORKS
Irina Delia Nemoianu, Claudio Greco, Marco Cagnazzo, Béatrice Pesquet-Popescu, Institut Télécom / Télécom ParisTech, France
MMSP-P1.8: A NOVEL PARALLEL H.264 DECODER USING DYNAMIC LOAD BALANCE ON DUAL CORE EMBEDDED SYSTEM
Ding-Yun Chen, Chen-Tsai Ho, Chi-Cheng Ju, Chung-Hung Tsai, MediaTek Inc., Taiwan
MMSP-P1.9: SMART COMPOSITING: A REAL-TIME CONTENT-ADAPTIVE BLENDING METHOD FOR REMOTE VISUAL COLLABORATION
Wei Hong, April Slayden Mitchell, Mitchell Trott, Hewlett-Packard Laboratories, United States
MMSP-P1.10: VIRTUAL MIXER: REAL-TIME AUDIO MIXING ACROSS CLIENTS AND THE CLOUD FOR MULTIPARTY CONFERENCING
Jun Liao, Chun Yuan, Wenwu Zhu, Tsinghua University, China; Philip A. Chou, Microsoft Research, United States
MMSP-P1.11: NO-REFERENCE QUALITY ESTIMATION FOR COMPRESSED VIDEOS BASED ON INTER-FRAME ACTIVITY DIFFERENCE
Toru Yamada, Tokyo Metropolitan University / NEC Corporation, Japan; Takao Nishitani, Tokyo Metropolitan University, Japan
MMSP-P2.1: COMMUNITY-DRIVEN HIERARCHICAL FUSION OF NUMEROUS CLASSIFIERS: APPLICATION TO VIDEO SEMANTIC INDEXING
Hervé Bredin, LIMSI/CNRS, France
MMSP-P2.2: UNIFIED HYPERGRAPH FOR IMAGE RANKING IN A MULTIMODAL CONTEXT
Jiejun Xu, Vishwakarma Singh, Ziyu Guan, B. S. Manjunath, University of California at Santa Barbara, United States
MMSP-P2.3: CROSS-MODALITY CORRELATION PROPAGATION FOR CROSS-MEDIA RETRIEVAL
Xiaohua Zhai, Yuxin Peng, Jianguo Xiao, Peking University, China
MMSP-P2.4: 6D MOTION GESTURE RECOGNITION USING SPATIO-TEMPORAL FEATURES
Mingyu Chen, Ghassan AlRegib, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States
MMSP-P2.5: EFFICIENT MANIFOLD LEARNING FOR 3D MODEL RETRIEVAL BY USING CLUSTERING-BASED TRAINING SAMPLE REDUCTION
Megumi Endoh, Tomohiro Yanagimachi, Ryutarou Ohbuchi, University of Yamanashi, Japan
MMSP-P2.6: AUDITORY CONTEXT CLASSIFICATION USING RANDOM FORESTS
Li Yang, Feng Su, Nanjing University, China
MMSP-P2.7: MOBILE MUSIC MODELING, ANALYSIS AND RECOGNITION
Pavel Golik, RWTH Aachen University, Germany; Boulos Harb, Ananya Misra, Michael Riley, Google, Inc., United States; Alex Rudnick, Indiana University, United States; Eugene Weinstein, Google, Inc., United States
MMSP-P2.8: EXPLOITING PRIOR KNOWLEDGE IN MOBILE VISUAL LOCATION RECOGNITION
Georg Schroth, Robert Huitl, Mohammad Abu-Alqumsan, Florian Schweiger, Eckehard Steinbach, Technische Universität München, Germany
MMSP-P2.9: PREDICTING THE EFFECTIVENESS OF QUERIES FOR VISUAL SEARCH
Bing Li, Ling-Yu Duan, Yiming Chen, Rongrong Ji, Wen Gao, Peking University, China
MMSP-P2.10: 3D MODEL RETRIEVAL USING 2D CEPSTRAL FEATURES
Chang-Hsing Lee, Jau-Ling Shih, Chih-Hsun Chou, Kung-Ming Yu, Chuan-Yen Hung, Chung Hua University, Taiwan
MMSP-P2.11: BABAZ: A LARGE SCALE AUDIO SEARCH SYSTEM FOR VIDEO COPY DETECTION
Hervé Jégou, Jonathan Delhumeau, INRIA, France; Jiangbo Yuan, Florida State University, France; Guillaume Gravier, CNRS, France; Patrick Gros, INRIA, France
MMSP-P2.12: A CROSS-MODAL APPROACH FOR EXTRACTING SEMANTIC RELATIONSHIPS OF CONCEPTS FROM AN IMAGE DATABASE
Marie Katsurai, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
MMSP-P3.1: SEGMENTATION OF TV SHOWS INTO SCENES USING SPEAKER DIARIZATION AND SPEECH RECOGNITION
Hervé Bredin, LIMSI/CNRS, France
MMSP-P3.2: A MULTI-MODAL HIGHLIGHT EXTRACTION SCHEME FOR SPORTS VIDEOS USING AN INFORMATION-THEORETIC EXCITABILITY MEASURE
Taufiq Hasan, Hynek Boril, Abhijeet Sangwan, John H. L. Hansen, The University of Texas at Dallas, United States
MMSP-P3.3: IMPROVING AUTOMATIC DUBBING WITH SUBTITLE TIMING OPTIMISATION USING VIDEO CUT DETECTION
Jindrich Matousek, Jakub Vit, University of West Bohemia, Czech Republic
MMSP-P3.4: CLUSTERING AND SYNCHRONIZING MULTI-CAMERA VIDEO VIA LANDMARK CROSS-CORRELATION
Nicholas J. Bryan, Stanford University, United States; Paris Smaragdis, University of Illinois at Urbana-Champaign, United States; Gautham J. Mysore, Adobe Systems Inc., United States
MMSP-P3.5: MULTIMODAL INFORMATION FUSION AND TEMPORAL INTEGRATION FOR VIOLENCE DETECTION IN MOVIES
Cédric Penet, Claire-Hélène Demarty, Technicolor, France; Guillaume Gravier, CNRS/IRISA, France; Patrick Gros, INRIA Rennes, France
MMSP-P3.6: DICTIONARY LEARNING BASED PAN-SHARPENING
Dehong Liu, Petros T. Boufounos, Mitsubishi Electric Research Laboratories, United States
MMSP-P3.7: A HIERARCHICAL FRAMEWORK FOR MODELING MULTIMODALITY AND EMOTIONAL EVOLUTION IN AFFECTIVE DIALOGS
Angeliki Metallinou, Athanasios Katsamanis, Shrikanth Narayanan, University of Southern California, United States
SAM-L1.1: SIMPLICIAL CONE SHRINKING ALGORITHM FOR UNMIXING NONNEGATIVE SOURCES
Wendyam Serge Boris Ouedraogo, Antoine Souloumiac, Commissariat à l'Energie Atomique et aux Energies Alternatives, France; Meriem Jaidane, Ecole Nationale d'Ingénieurs de Tunis, Tunisia; Christian Jutten, Université de Grenoble, France
SAM-L1.2: A SIMPLE CLOSED-FORM SOLUTION FOR OVERDETERMINED BLIND SEPARATION OF LOCALLY SPARSE QUASI-STATIONARY SOURCES
Xiao Fu, Wing-Kin (Ken) Ma, The Chinese University of Hong Kong, Hong Kong SAR of China
SAM-L1.3: A ROBUST APPROACH TO REVERBERANT BLIND SOURCE SEPARATION IN THE PRESENCE OF NOISE FOR ARBITRARILY ARRANGED SENSORS
Ingrid Jafari, Roberto Togneri, The University of Western Australia, Australia; Sven Nordholm, Curtin University of Technology, Australia
SAM-L1.4: USER-GUIDED INDEPENDENT VECTOR ANALYSIS WITH SOURCE ACTIVITY TUNING
Takuma Ono, The University of Tokyo, Japan; Nobutaka Ono, National Institute of Informatics, Japan; Shigeki Sagayama, The University of Tokyo, Japan
SAM-L1.5: ADAPTIVE FUSION OF DICTIONARY LEARNING AND MULTICHANNEL BSS
Vahid Abolghasemi, Brunel University, United Kingdom; Saideh Ferdowsi, Bahador Makki Abadi, Saeid Sanei, University of Surrey, United Kingdom
SAM-L1.6: COMPUTATIONAL METHODS FOR STRUCTURED SPARSE COMPONENT ANALYSIS OF CONVOLUTIVE SPEECH MIXTURES
Afsaneh Asaei, IDIAP Research Institute / École Polytechnique Fédérale de Lausanne, Switzerland; Michael E. Davies, Institute for Digital Communication, The University of Edinburgh, United Kingdom; Hervé Bourlard, IDIAP Research Institute / École Polytechnique Fédérale de Lausanne, Switzerland; Volkan Cevher, École Polytechnique Fédérale de Lausanne, Switzerland
SAM-L2.1: OBLIQUE PRINCIPAL SUBSPACE TRACKING ON MANIFOLD
Florian Yger, Maxime Berar, Université de Rouen, France; Gilles Gasso, INSA de Rouen, France; Alain Rakotomamonjy, Université de Rouen, France
SAM-L2.2: MINOR SUBSPACE TRACKING USING MNS TECHNIQUE
Messaoud Thameri, Karim Abed-Meraim, Télécom ParisTech, France; Adel Belouchrani, Ecole nationale polytechnique, Algeria
SAM-L2.3: BAYESIAN SUBSPACE ESTIMATION USING CS DECOMPOSITION
Olivier Besson, University of Toulouse-ISAE, France; Nicolas Dobigeon, Jean-Yves Tourneret, University of Toulouse-IRIT/ENSEEIHT, France
SAM-L2.4: A MULTI-DIMENSIONAL MODEL ORDER SELECTION CRITERION WITH IMPROVED IDENTIFIABILITY
Kefei Liu, Hing-Cheung So, City University of Hong Kong, Hong Kong SAR of China; Lei Huang, Shenzhen Graduate School, Harbin Institute of Technology, China
SAM-L2.5: A FULL GENERALIZED LIKELIHOOD RATIO TEST FOR SOURCE DETECTION
Pei-Jung Chung, The University of Edinburgh, United Kingdom; Kon Max Wong, McMaster University, Canada
SAM-L2.6: PARAMETRIC MULTICHANNEL ADAPTIVE SIGNAL DETECTION: EXPLOITING PERSYMMETRIC STRUCTURE
Pu Wang, Stevens Institute of Technology, United States; Zafer Sahinoglu, Man-On Pun, Mitsubishi Electric Research Laboratories, United States; Hongbin Li, Stevens Institute of Technology, United States
SAM-L3.1: COLOCATED MIMO RADAR TRANSMIT BEAMFORMING USING ORTHOGONAL WAVEFORMS
Guang Hua, Saman Abeysekera, Nanyang Technological University, Singapore
SAM-L3.2: OPTIMAL SEQUENTIAL WAVEFORM DESIGN FOR COGNITIVE RADAR
Wasim Huleihel, Joseph Tabrikian, Reuven Shavit, Ben-Gurion University of the Negev, Israel
SAM-L3.3: WIDELY-SEPARATED MIMO VS. MULTISTATIC RADAR FOR TARGET LOCALIZATION
Aliakbar Gorji Daronkolaei, Ratnasingham Tharmarasa, Thia Kirubarajan, McMaster University, Canada
SAM-L3.4: OPTIMAL POWER ALLOCATION FOR MIMO RADARS WITH HETEROGENEOUS PROPAGATION LOSSES
Xiufeng Song, Peter Willett, Shengli Zhou, University of Connecticut, United States
SAM-L3.5: SPARSE SELF-CALIBRATION BY MAP METHOD FOR MIMO RADAR IMAGING
Changchang Liu, Jin Yan, Weidong Chen, University of Science and Technology of China, China
SAM-L3.6: A NOVEL APPROACH TO DOPPLER COMPENSATION AND ESTIMATION FOR MULTIPLE TARGETS IN MIMO RADAR WITH UNITARY WAVEFORM MATRIX SCHEDULING
Tariq Qureshi, Michael Zoltowski, Purdue University, United States; Robert Calderbank, Duke University, United States
SAM-L4.1: SUM RATE MAXIMIZATION FOR MULTI-PAIR TWO-WAY RELAYING WITH SINGLE-ANTENNA AMPLIFY AND FORWARD RELAYS
Jianshu Zhang, Florian Roemer, Martin Haardt, Ilmenau University of Technology, Germany; Arash Khabbazibasmenj, Sergiy A. Vorobyov, University of Alberta, Canada
SAM-L4.2: SECRECY ANALYSIS OF UNAUTHENTICATED AMPLIFY-AND-FORWARD RELAYING WITH ANTENNA SELECTION
Jing Huang, Amitav Mukherjee, A. Lee Swindlehurst, University of California at Irvine, United States
SAM-L4.3: RELAY SELECTION IN MULTI-USER AMPLIFY-FORWARD WIRELESS RELAY NETWORKS
Enlong Che, H.D Tuan, University of Technology, Sydney, Australia; Ha H. Nguyen, University of Saskatchewan, Canada
SAM-L4.4: FILTER-AND-FORWARD DISTRIBUTED BEAMFORMING FOR TWO-WAY RELAY NETWORKS WITH FREQUENCY SELECTIVE CHANNELS
Haihua Chen, Nankai University, China; Shahram Shahbazpanahi, University of Ontario Institute of Technology, Canada; Alex Gershman, Technical University of Darmstadt, Germany
SAM-L4.5: JOINT OPTIMIZATION OF RELAY POSITION AND POWER ALLOCATION IN COOPERATIVE BROADCAST WIRELESS NETWORKS
Ying Jin, Yimin Zhang, Batu Krishna Chalise, Villanova University, United States
SAM-L4.6: ENERGY EFFICIENT HYBRID ONE-WAY AND TWO-WAY RELAY TRANSMISSION STRATEGY
Can Sun, Chenyang Yang, Beihang University, China
SAM-P1.1: ENHANCED SPEAKER ACTIVITY DETECTION FOR DISTRIBUTED MICROPHONES BY EXPLOITATION OF SIGNAL POWER RATIO PATTERNS
Timo Matheja, Markus Buck, Tobias Wolff, Nuance Communications Aachen GmbH, Site Ulm, Germany
SAM-P1.2: ULTRASOUND MULTIPATH BACKGROUND CLUTTER MITIGATION BASED ON SUBSPACE ANALYSIS AND PROJECTION
Xizhong Shen, Shanghai Institute of Technology, China; Yimin D. Zhang, Moeness G. Amin, Ramazan Demirli, Villanova University, United States
SAM-P1.3: SPARSE UNDERWATER ACOUSTIC IMAGING: A CASE STUDY
Nikolaos Stefanakis, INRIA, France; Jacques Marchal, UPMC, France; Valentin Emiya, Aix-Marseille Univ, France; Nancy Bertin, CNRS, France; Rémi Gribonval, INRIA, France; Pierre Cervenka, UPMC, France
SAM-P1.4: NEAR-FIELD 3-D SYNTHETIC APERTURE RADAR IMAGING VIA COMPRESSED SENSING
Zengli Yang, Yahong Rosa Zheng, Missouri University of Science and Technology, United States
SAM-P1.5: FAST SEISMIC IMAGING FOR MARINE DATA
Aleksandr Aravkin, Xiang Li, Felix Herrmann, University of British Columbia, Canada
SAM-P1.6: PASSIVE MILLIMETER-WAVE IMAGING WITH EXTENDED DEPTH OF FIELD AND SPARSE DATA
Vishal M. Patel, University of Maryland, United States; Joseph N. Mait, U.S. Army Research Laboratory, United States
SAM-P1.7: IN SITU AUV SURVEY ADAPTATION USING THROUGH-THE-SENSOR SONAR DATA
David Williams, Arjan Vermeij, Francesco Baralli, Johannes Groen, Warren Fox, NATO Undersea Research Centre, Italy
SAM-P1.8: MULTI-USER LEO-SATELLITE RECEIVER FOR ROBUST SPACE DETECTION OF AIS MESSAGES
Mu Zhou, Alle-Jan van der Veen, Rene van Leuken, Delft University of Technology, Netherlands
SAM-P1.9: PERFORMANCE ANALYSIS OF CLUSTERED RADIO INTERFEROMETRIC CALIBRATION
Sanaz Kazemi, University of Groningen, Netherlands; Sarod Yatawatta, ASTRON, Netherlands; Saleem Zaroubi, University of Groningen, Netherlands
SAM-P1.10: OBJECT SHAPE RECOGNITION WITH ARTIFICIAL WHISKERS USING TOMOGRAPHIC RECONSTRUCTION
Cagdas Tuna, University of Illinois at Urbana-Champaign, United States; Joseph H. Solomon, Northwestern University, United States; Douglas L. Jones, University of Illinois at Urbana-Champaign, United States; Mitra J. Z. Hartmann, Northwestern University, United States
SAM-P1.11: MULTI-FREQUENCY BAND COMMON SPATIAL PATTERN WITH SPARSE OPTIMIZATION IN BRAIN-COMPUTER INTERFACE
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Institute for Infocomm Research, Singapore; Chai Quek, Nanyang Technological University, Singapore
SAM-P1.12: SPARSE TOUCH SENSING FOR CAPACITIVE TOUCH SCREENS
Chenchi Luo, James McClellan, Georgia Institute of Technology, United States; Milind Borkar, Arthur Redfern, Texas Instruments, Inc., United States
SAM-P2.1: A KHATRI-RAO BASED METHOD FOR DOA ESTIMATION IN THE PRESENCE OF MUTUAL COUPLING
Shenghong Cao, Zhongfu Ye, Xu Xu, University of Science and Technology of China, China
SAM-P2.2: COMPUTATIONALLY SIMPLE DOA ESTIMATION OF TWO RESOLVED TARGETS WITH A SINGLE SNAPSHOT
Philipp Heidenreich, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SAM-P2.3: IMPROVED DOA ESTIMATION WITH ACOUSTIC VECTOR SENSOR ARRAYS USING SPATIAL SPARSITY AND SUBARRAY MANIFOLD
Bo Li, Yue Xian Zou, Peking University Shenzhen Graduate School, China
SAM-P2.4: A CIRCULARITY-BASED DOA ESTIMATION METHOD UNDER COEXISTENCE OF NONCIRCULAR AND CIRCULAR SIGNALS
Aifei Liu, Guisheng Liao, Qing Xu, Cao Zeng, Xidian University, China
SAM-P2.5: DOA ESTIMATION OF AMPLITUDE MODULATED SIGNALS WITH LESS ARRAY SENSORS THAN SOURCES
Tao Wang, Boon Poh Ng, Meng Hwa Er, Nanyang Technological University, Singapore
SAM-P2.6: DERIVATION OF MONOPULSE ANGLE ACCURACY FOR PHASED ARRAY RADAR TO ACHIEVE CRAMER-RAO LOWER BOUND
Ryuhei Takahashi, Kazufumi Hirata, Teruyuki Hara, Atsushi Okamura, Mitsubishi Electric Corporation, Japan
SAM-P2.7: THE ESTIMATE FOR DOAS OF SIGNALS USING SPARSE RECOVERY METHOD
Dongyang Xu, Nan Hu, Zhongfu Ye, University of Science and Technology of China, China; Ming Bao, Chinese Academy of Sciences, China
SAM-P2.8: POLYNOMIAL-PHASE SIGNAL SOURCE TRACKING USING AN ELECTROMAGNETIC VECTOR-SENSOR
Xin Yuan, The Hong Kong Polytechnic University, Hong Kong SAR of China
SAM-P2.9: LOW SIDELOBE ANTENNA PATTERNS WITH FAILED ELEMENTS
Steven Krich, Ian Weiner, MIT Lincoln Laboratory, United States; Cory Prust, Milwaukee School of Engineering, United States
SAM-P2.10: MATCHED DIRECTION BEAMFORMING BASED ON SIGNAL SUBSPACE
Jie Zhuang, Ping Huang, Wei Huang, University of Electronic Science and Technology of China, China
SAM-P2.11: BEAMFORMER DESIGN EXPLOITING BLIND SOURCE EXTRACTION TECHNIQUES
Brian Bloemendal, Eindhoven University of Technology, Netherlands; Jakob van de Laar, Philips Research Laboratories, Netherlands; Piet Sommen, Eindhoven University of Technology, Netherlands
SAM-P2.12: A ROBUST APPROACH TO OPTIMUM WIDELY LINEAR MVDR BEAMFORMER
Guohua Wang, Joni Polili Lie, Nanyang Technological University, Singapore; Chong-Meng Samson See, DSO National Laboratories Singapore, Singapore
SAM-P3.1: A CLOSED FORM SOLUTION TO THE MICROPHONE POSITION SELF-CALIBRATION PROBLEM
Marco Crocco, Alessio Del Bue, Matteo Bustreo, Vittorio Murino, Istituto Italiano di Tecnologia, Italy
SAM-P3.2: MULTIPLE SOURCES' DIRECTION FINDING BY USING RELIABLE COMPONENT ON PHASE DIFFERENCE MANIFOLD AND KERNEL DENSITY ESTIMATOR
Ken Fujimoto, Ning Ding, Nozomu Hamada, Keio University, Japan
SAM-P3.3: BIAS ANALYSIS OF SOURCE LOCALIZATION USING THE MAXIMUM LIKELIHOOD ESTIMATOR
Liyang Rui, K. C. Ho, University of Missouri, United States
SAM-P3.4: ASYMPTOTIC RESULTS FOR PASSIVE WAVEFRONT CURVATURE RANGING USING A LARGE-SCALE DISTRIBUTED ARRAY SYSTEM
Hongya Ge, New Jersey Institute of Technology, United States; Ivars Kirsteins, Naval Undersea Warfare Center, United States
SAM-P3.5: STOCHASTIC LOCALIZATION OF CBRN RELEASES
Ronald Locke, Ioannis Paschalidis, Boston University, United States
SAM-P3.6: ROOM HELPS: ACOUSTIC LOCALIZATION WITH FINITE ELEMENTS
Ivan Dokmanic, Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland
SAM-P3.7: URBAN SOURCE LOCALIZATION BASED ON TIME OF ARRIVAL MEASUREMENT AND STREET INFORMATION
Enyang Xu, Zhi Ding, University of California at Davis, United States; Soura Dasgupta, University of Iowa, United States
SAM-P3.8: REAL-TIME MULTIPLE SOUND SOURCE LOCALIZATION USING A CIRCULAR MICROPHONE ARRAY BASED ON SINGLE-SOURCE CONFIDENCE MEASURES
Despoina Pavlidi, Foundation for Research and Technology-Hellas and University of Crete, Greece; Matthieu Puigt, Anthony Griffin, Foundation for Research and Technology-Hellas, Greece; Athanasios Mouchtaris, Foundation for Research and Technology-Hellas and University of Crete, Greece
SAM-P3.9: COOPERATIVE PARTICLE FILTERING FOR EMITTER TRACKING WITH UNKNOWN NOISE VARIANCE
Stiven S. Dias, Embraer S.A., Brazil; Marcelo G. S. Bruno, Instituto Tecnológico de Aeronáutica, Brazil
SAM-P3.10: COOPERATIVE LOCALIZATION IN PARTIALLY CONNECTED MOBILE WIRELESS SENSOR NETWORKS USING GEOMETRIC LINK RECONSTRUCTION
Hadi Jamali-Rad, Hamid Ramezani, Geert Leus, Delft University of Technology, Netherlands
SAM-P3.11: A RANDOM FINITE SET APPROACH FOR TRACKING TIME-VARYING NUMBER OF ACOUSTIC SOURCES USING A SINGLE ACOUSTIC VECTOR SENSOR
Xionghu Zhong, A. B. Premkumar, A. S. Madhukumar, Nanyang Technological University, Singapore
SAM-P3.12: SINGLE ANTENNA POWER MEASUREMENTS BASED DIRECTION FINDING WITH INCOMPLETE SPATIAL COVERAGE
Joni Polili Lie, Nanyang Technological University, Singapore; Thierry Blu, The Chinese University of Hong Kong, Hong Kong SAR of China; Chong-Meng Samson See, DSO National Laboratories, Singapore
SAM-P4.1: PHASE-ONLY ANALOG ENCODING FOR A MULTI-ANTENNA FUSION CENTER
Feng Jiang, Jie Chen, A. Lee Swindlehurst, University of California at Irvine, United States
SAM-P4.2: MAXIMUM LIKELIHOOD ESTIMATION OF TRANSITION PROBABILITIES USING ANALYTICAL CENTER CUTTING PLANE METHOD FOR UNKNOWN MANEUVERING EMITTER TRACKING BY A WIRELESS SENSOR NETWORK
Xiaomei Luo, Xidian University, China; Zhi-Quan Luo, University of Minnesota, United States; Kehu Yang, Xidian University, China
SAM-P4.3: AN EFFICIENT ALGORITHM FOR THE SYNTHESIS OF FULLY CONSISTENT GRAPHS
Martin Kreißig, Bin Yang, University of Stuttgart, Germany
SAM-P4.4: EFFICIENT COMPUTATION OF MICROPHONE UTILITY IN A WIRELESS ACOUSTIC SENSOR NETWORK WITH MULTI-CHANNEL WIENER FILTER BASED NOISE REDUCTION
Joseph Szurley, Alexander Bertrand, Marc Moonen, Katholieke Universiteit Leuven, Belgium
SAM-P4.5: PREDICTIVE STATE VECTOR ENCODING FOR DECENTRALIZED FIELD ESTIMATION IN SENSOR NETWORKS
Florian Xaver, Gerald Matz, Vienna University of Technology, Austria; Peter Gerstoft, University of California at San Diego, United States; Christoph Mecklenbräuker, Vienna University of Technology, Austria
SAM-P4.6: ON THE ACHIEVABLE SUM RATE OF MULTITERMINAL SOURCE CODING FOR A CORRELATED GAUSSIAN VECTOR SOURCE
Jie Chen, A. Lee Swindlehurst, University of California at Irvine, United States
SAM-P4.7: POWER ITERATION-BASED DISTRIBUTED TOTAL LEAST SQUARES ESTIMATION IN AD HOC SENSOR NETWORKS
Alexander Bertrand, Marc Moonen, KU Leuven, University of Leuven, Belgium
SAM-P4.8: DISTRIBUTED FIELD RECONSTRUCTION WITH MODEL-ROBUST BASIS PURSUIT
Aurora Schmidt, José M.F. Moura, Carnegie Mellon University, United States
SAM-P4.9: PROGRESSIVE QUANTIZATION IN DISTRIBUTED AVERAGE CONSENSUS
Dorina Thanou, École Polytechnique Fédérale de Lausanne, Switzerland; Effrosyni Kokiopoulou, École Polytechnique Fédérale de Lausanne / Zurich (ETH), Switzerland; Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland
SAM-P4.10: ACCOUNTING FOR TOPOLOGY IN SPREADING CONTAGION IN NON-COMPLETE NETWORKS
June Zhang, José M.F. Moura, Carnegie Mellon University, United States
SAM-P4.11: EXPECTED-UTILITY-BASED SENSOR SELECTION FOR STATE ESTIMATION
David Cohen, University of Illinois at Urbana-Champaign, United States; Sriram Narayanan, Texas Instruments, Inc., United States; Douglas L. Jones, University of Illinois at Urbana-Champaign, United States
SAM-P4.12: INITIALIZATION OF MULTI-BERNOULLI RANDOM-FINITE-SETS OVER A SENSOR TREE
Joseph Lee, K. Yao, University of California at Los Angeles, United States
SAM-P4.13: ASYNCHRONOUS BIDIRECTIONAL RELAY-ASSISTED COMMUNICATIONS
Reza Vahidnia, Shahram Shahbazpanahi, University of Ontario Institute of Technology, Canada
SAM-P5.1: LOW-RANK MATRIX COMPLETION FOR ARRAY SIGNAL PROCESSING
Zhiyuan Weng, Xin Wang, Stony Brook University, United States
SAM-P5.2: EXPERIMENTAL ASSESSMENT OF SPARSE CHANNEL ESTIMATIONS FOR PASSIVE-PHASE CONJUGATION COMMUNICATIONS
Guosong Zhang, Bo Peng, Hefeng Dong, Norwegian University of Science and Technology, Norway
SAM-P5.3: ROBUST SPARSE SPECTRAL FITTING IN ELEMENT AND BEAM SPACES FOR DIRECTIONS-OF-ARRIVAL AND POWER ESTIMATION
Wentao Shi, Northwestern Polytechnical University, China; Jimeng Zheng, Mostafa Kaveh, University of Minnesota, United States; Jianguo Huang, Northwestern Polytechnical University, China
SAM-P5.4: BLOCK SPARSE REPRESENTATIONS OF TENSORS USING KRONECKER BASES
Cesar F. Caiafa, CONICET, Argentina; Andrzej Cichocki, RIKEN, Japan
SAM-P5.5: BLIND CALIBRATION FOR COMPRESSED SENSING BY CONVEX OPTIMIZATION
Rémi Gribonval, INRIA, France; Gilles Chardon, Université Pierre et Marie Curie, France; Laurent Daudet, Université Paris Diderot - Institut Universitaire de France, France
SAM-P5.6: DYNAMIC SPARSE SUPPORT TRACKING WITH MULTIPLE MEASUREMENT VECTORS USING COMPRESSIVE MUSIC
Jong Min Kim, Ok Kyun Lee, Jong Chul Ye, Korea Advanced Institute of Science and Technology, Republic of Korea
SAM-P5.7: AUTOMATIC THRESHOLD ESTIMATION FOR ITERATIVE SHRINKAGE ALGORITHMS USED WITH COMPRESSED SENSING
Nasser Mourad, Aswan Faculty of Engineering, South Valley University, Egypt; James Reilly, McMaster University, Canada
SAM-P5.8: THRESHOLDING-BASED RECONSTRUCTION OF COMPRESSED CORRELATED SIGNALS
Alhussein Fawzi, Tamara Tosic, Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland
SAM-P5.9: A GREEDY PURSUIT ALGORITHM FOR DISTRIBUTED COMPRESSED SENSING
Dennis Sundman, Saikat Chatterjee, Mikael Skoglund, KTH Royal Institute of Technology, Sweden
SAM-P5.10: COMPRESSIVE SAMPLING FOR NETWORKED FEEDBACK CONTROL
Masaaki Nagahara, Kyoto University, Japan; Daniel Quevedo, The University of Newcastle, Australia; Takahiro Matsuda, Osaka University, Japan; Kazunori Hayashi, Kyoto University, Japan
SAM-P5.11: STABLE SIGNAL RECOVERY IN COMPRESSED SENSING WITH A STRUCTURED MATRIX PERTURBATION
Zai Yang, Nanyang Technological University, Singapore; Cishen Zhang, Swinburne University of Technology, Australia; Lihua Xie, Nanyang Technological University, Singapore
SAM-P5.12: HYPERSPECTRAL IMAGE COMPRESSED SENSING VIA LOW-RANK AND JOINT-SPARSE MATRIX RECOVERY
Mohammad Golbabaee, Pierre Vandergheynst, École Polytechnique Fédérale de Lausanne, Switzerland
SPED-P1.1: SOUND SOFTWARE: TOWARDS SOFTWARE REUSE IN AUDIO AND MUSIC RESEARCH
Chris Cannam, Luís Figueira, Mark D. Plumbley, Queen Mary University of London, United Kingdom
SPED-P1.2: EDUCATING ENGINEERS OF THE FUTURE
Monica Bugallo, Keith Sheppard, David Bynum, Stony Brook University, United States
SPED-P1.3: THE BENEFITS OF GAME USE IN A SIGNAL PROCESSING GRADUATE CLASS
Amanda Sue King, Richard K. Martin, the Air Force Institute of Technology, United States
SPED-P1.4: FEMALE FRIENDLY DSP CURRICULUM FOR EXPANDING WOMEN'S OPPORTUNITIES
Lichuan Liu, Northern Illinois University, United States
SPED-P1.5: INTERACTIVE DSP LABORATORIES ON MOBILE PHONES AND TABLETS
Jinru Liu, Shuang Hu, Jayaraman J. Thiagarajan, Xue Zhang, Suhas Ranganath, Mahesh K. Banavar, Andreas Spanias, Arizona State University, United States
SPED-P1.6: TEACHING AND RESEARCH IN FPGA BASED DIGITAL SIGNAL PROCESSING USING XILINX SYSTEM GENERATOR
Shahrukh Athar, Muhammad Ali Siddiqi, Shahid Masud, Lahore University of Management Sciences, Pakistan
SPED-P1.7: DIGITAL PATTERN PLAYBACK FOR EDUCATION IN DIGITAL SIGNAL PROCESSING AND SPEECH SCIENCE
Takayuki Arai, Sophia University, Japan
SPED-P1.8: UNDERGRADUATE SPEECH PROCESSING AWARENESS
Marc Ressl, Jorge Prendes, Roxana Saint-Nom, Buenos Aires Institute of Technology, Argentina
SPED-P1.9: TELIAMADE ULTRASONIC INDOOR LOCATION SYSTEM: APPLICATION AS A TEACHING TOOL
Carlos Medina, Isaac Alvarez, Jose Carlos Segura, Angel de la Torre, Carmen Benítez Ortúzar, University of Granada, Spain
SPED-P1.10: OPEN-SOURCE PHYSICAL-LAYER SIMULATOR FOR LTE SYSTEMS
Markus Lima, Camila Gussen, Breno Espíndola, Federal University of Rio de Janeiro, Brazil; Tadeu Ferreira, Fluminense Federal University, Brazil; Wallace Martins, Federal Center for Tech. Education, Brazil; Paulo S. R. Diniz, Federal University of Rio de Janeiro, Brazil
SPED-P1.11: CONNEXIONS AND THE SPEN FELLOWS PROGRAM
Thad Welch, Boise State University, United States; Michael Morrow, University of Wisconsin - Madison, United States; Cameron Wright, University of Wyoming, United States
SPED-P1.12: TEACHING SOFTWARE DEFINED RADIO USING THE USRP AND LABVIEW
Thad Welch, Boise State University, United States; Sam Shearman, National Instruments, United States
SPCOM-L1.1: RANK-TWO TRANSMIT BEAMFORMED ALAMOUTI SPACE-TIME CODING FOR PHYSICAL-LAYER MULTICASTING
Xiaoxiao Wu, Anthony Man-Cho So, Wing-Kin (Ken) Ma, The Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-L1.2: SCHEDULING AND POWER CONTROL IN STATISTICAL BEAMFORMING NETWORKS USING B BITS OF FEEDBACK
Sagnik Ghosh, Bhaskar D. Rao, James R. Zeidler, University of California at San Diego, United States
SPCOM-L1.3: LORENTZ-POSITIVE MAPS WITH APPLICATIONS TO ROBUST MISO DOWNLINK BEAMFORMING
Yongwei Huang, Hong Kong Baptist University, Hong Kong SAR of China; Daniel P. Palomar, Hong Kong University of Science and Technology, Hong Kong SAR of China; Shuzhong Zhang, University of Minnesota, United States
SPCOM-L1.4: NEAR-OPTIMAL SOFT-OUTPUT FIXED-COMPLEXITY MIMO DETECTION VIA SUBSPACE MARGINALIZATION AND INTERFERENCE SUPPRESSION
Mirsad Cirkic, Erik G. Larsson, Linköping University, Sweden
SPCOM-L1.5: DETECTING PASSIVE EAVESDROPPERS IN THE MIMO WIRETAP CHANNEL
Amitav Mukherjee, A. Lee Swindlehurst, University of California at Irvine, United States
SPCOM-L1.6: CHANCE-CONSTRAINED OPTIMIZATION OF UPLINK PARAMETERS FOR OFDMA COGNITIVE RADIOS
Nasim Yahya Soltani, Seung-Jun Kim, Georgios B. Giannakis, University of Minnesota, United States
SPCOM-L2.1: OPTIMAL RESOURCE ALLOCATION FOR GAUSSIAN RELAY CHANNEL WITH ENERGY HARVESTING CONSTRAINTS
Chuan Huang, Texas A&M University, United States; Rui Zhang, National University of Singapore, Singapore; Shuguang Cui, Texas A&M University, United States
SPCOM-L2.2: OPTIMAL JOINT BASE STATION ASSIGNMENT AND DOWNLINK BEAMFORMING FOR HETEROGENEOUS NETWORKS
Maziar Sanjabi, Meisam Razaviyayn, Zhi-Quan Luo, University of Minnesota, United States
SPCOM-L2.3: ACHIEVING THE DEGREES OF FREEDOM OF RELAY-AIDED INTERFERENCE BROADCAST CHANNELS
Dan Wu, Chenyang Yang, Tingting Liu, Beihang University, China; Zixiang Xiong, Texas A&M University, United States
SPCOM-L2.4: INTERFERENCE LEAKAGE MINIMIZATION FOR CONVOLUTIVE MIMO INTERFERENCE CHANNELS
Óscar González, Christian Lameiro, Javier Vía Rodríguez, Ignacio Santamaría, University of Cantabria, Spain; Robert W. Heath, The University of Texas at Austin, Spain
SPCOM-L2.5: ITERATIVE INTERFERENCE ALIGNMENT FOR CELLULAR SYSTEMS WITH USER SELECTION
Jan Schreck, Berlin University of Technology, Germany; Gerhard Wunder, Fraunhofer Heinrich Hertz Institute, Germany
SPCOM-L2.6: DEGREES OF FREEDOM REGION IN MULTI-CELL RANDOM BEAMFORMING
Hieu Duy Nguyen, Rui Zhang, Hon Tat Hui, National University of Singapore, Singapore
SPCOM-L3.1: DISTRIBUTED BELIEF PROPAGATION USING SENSOR NETWORKS WITH CORRELATED OBSERVATIONS
Alfonso Cano, Georgios B. Giannakis, University of Minnesota, United States
SPCOM-L3.2: JOINT MOTION ESTIMATION AND CLOCK SYNCHRONIZATION FOR A WIRELESS NETWORK OF MOBILE NODES
Raj Thilak Rajan, ASTRON, Netherlands; Alle-Jan van der Veen, Technical University of Delft, Netherlands
SPCOM-L3.3: LIFETIME MAXIMIZATION FOR BEAMFORMING APPLICATIONS IN WIRELESS SENSOR NETWORKS
Benjamín Béjar, Santiago Zazo, Universidad Politécnica de Madrid, Spain; Daniel P. Palomar, The Hong Kong University of Science and Technology, Hong Kong SAR of China
SPCOM-L3.4: DISTRIBUTED ESTIMATION OF STATIC FIELDS IN WIRELESS SENSOR NETWORKS USING THE FINITE ELEMENT METHOD
Toon van Waterschoot, Geert Leus, Delft University of Technology, Netherlands
SPCOM-L3.5: DISTRIBUTED MAXIMUM A POSTERIORI PROBABILITY ESTIMATION OF DYNAMIC SYSTEMS WITH WIRELESS SENSOR NETWORKS
Felicia Y Jakubiec, Alejandro Ribeiro, University of Pennsylvania, United States
SPCOM-L3.6: DIVERSITY ASPECTS OF POWER DELAY PROFILE BASED LOCATION FINGERPRINTING
Dirk Slock, Eurecom, France
SPCOM-L4.1: GRAPH SPECTRAL COMPRESSED SENSING FOR SENSOR NETWORKS
Xiaofan Zhu, Michael Rabbat, McGill University, Canada
SPCOM-L4.2: D-ADMM: A DISTRIBUTED ALGORITHM FOR COMPRESSED SENSING AND OTHER SEPARABLE OPTIMIZATION PROBLEMS
João Mota, Carnegie Mellon University / Instituto Superior Técnico, Portugal; João Xavier, Pedro Aguiar, Instituto Superior Técnico, Portugal; Markus Püschel, ETH Zürich, Switzerland
SPCOM-L4.3: JOINT POWER AND ADMISSION CONTROL VIA LINEAR PROGRAMMING DEFLATION
Ya-Feng Liu, Yu-Hong Dai, Chinese Academy of Sciences, China; Zhi-Quan Luo, University of Minnesota, United States
SPCOM-L4.4: DISTRIBUTED PRINCIPAL COMPONENT ANALYSIS ON NETWORKS VIA DIRECTED GRAPHICAL MODELS
Zhaoshi Meng, University of Michigan, United States; Ami Wiesel, Hebrew University of Jerusalem, Israel; Alfred O. Hero III, University of Michigan at Ann Arbor, United States
SPCOM-L4.5: L0 NORM BASED AFFINE PROJECTION SIGN ALGORITHM FOR SPARSE UNDERWATER ACOUSTIC CHANNEL ESTIMATION UNDER SYMMETRIC ALPHA-STABLE NOISE
Konstantinos Pelekanakis, Mandar Chitre, National University of Singapore, Singapore
SPCOM-L4.6: A COMPRESSIVE PHASE-LOCKED LOOP
Stephen Schnelle, JP Slavinsky, Rice University, United States; Petros T. Boufounos, Mitsubishi Electric Research Laboratories, United States; Mark Davenport, Stanford University, United States; Richard Baraniuk, Rice University, United States
SPCOM-L5.1: POLYNOMIAL-TIME DC (POTDC) FOR SUM-RATE MAXIMIZATION IN TWO-WAY AF MIMO RELAYING
Arash Khabbazibasmenj, Sergiy A. Vorobyov, University of Alberta, Canada; Florian Roemer, Martin Haardt, Communication Research Laboratory, Ilmenau University of Technology, Germany
SPCOM-L5.2: RELAY POWER ALLOCATION AND PRICING IN MULTI-USER RELAY NETWORKS USING GAME THEORY
Qian Cao, Vicky Zhao, Yindi Jing, University of Alberta, Canada
SPCOM-L5.3: UTILITY MAXIMIZATION IN THE HALF-DUPLEX TWO-WAY MIMO RELAY CHANNEL
Lennart Gerdes, Maximilian Riemensberger, Wolfgang Utschick, Technische Universität München, Germany
SPCOM-L5.4: ITERATIVE NETWORK/CHANNEL DECODING FOR THE NOISY MULTIPLE-ACCESS RELAY CHANNEL (MARC)
Xuan-Thang Vu, Marco Di Renzo, French National Center for Scienti?c Research, Ecole Superieure d’Electricite (SUPELEC), University of Paris-Sud XI, France; Pierre Duhamel, French National Center for Scienti?c Research, Ecole Superieure d’Electricite, University of Paris-Sud XI, France
SPCOM-L5.5: A COOPERATIVE APPROACH FOR AMPLIFY-AND-FORWARD DIFFERENTIAL TRANSMITTED REFERENCE IR-UWB RELAY SYSTEMS
Marco Mondelli, Sant'Anna School of Advanced Studies, Pisa University, Italy; Qi Zhou, Xiaoli Ma, Georgia Institute of Technology, United States; Vincenzo Lottici, Pisa University, Italy
SPCOM-L5.6: SPECTRUM SHARING BASED ON TWO-PATH SUCCESSIVE RELAYING
Chao Zhai, Wei Zhang, The University of New South Wales, Australia; P. C. Ching, The Chinese University of Hong Kong, China
SPCOM-P1.1: ASYNCHRONOUS SUBGRADIENT OPTIMIZATION IN NOISY NETWORKS
De Wen Soh, Yale University, United States; Tony Q. S. Quek, Institute for Infocomm Research, Singapore; Wee Peng Tay, Nanyang Technological University, Singapore
SPCOM-P1.2: JOINT MAXIMUM SUM-RATE RECEIVER DESIGN AND POWER ALLOCATION STRATEGY FOR MULTIHOP WIRELESS SENSOR NETWORKS
Tong Wang, Rodrigo de Lamare, University of York, United Kingdom; Anke Schmeink, RWTH Aachen University, Germany
SPCOM-P1.3: ANALOG COMPUTATION VIA WIRELESS MULTIPLE-ACCESS CHANNELS: UNIVERSALITY AND ROBUSTNESS
Mario Goldenbaum, Technische Universität Berlin, Germany; Holger Boche, Technische Universität München, Germany; Slawomir Stanczak, Technische Universität Berlin, Germany
SPCOM-P1.4: DECENTRALIZED LOW-RANK MATRIX COMPLETION
Qing Ling, University of Science and Technology of China, China; Yangyang Xu, Wotao Yin, Rice University, United States; Zaiwen Wen, Shanghai Jiao Tong University, China
SPCOM-P1.5: DISTRIBUTED BACK-PRESSURE POWER CONTROL FOR WIRELESS MULTI-HOP NETWORKS
Evaggelia Matskani, Technical University of Crete, Greece; Nikolaos Sidiropoulos, University of Minnesota, United States; Leandros Tassiulas, University of Thessaly, Greece
SPCOM-P1.6: PRECODING ON THE BROADCAST MIMO CHANNEL WITH DELAYED CSIT: THE FINITE SNR CASE
Xinping Yi, David Gesbert, Eurecom, France
SPCOM-P1.7: REDUCED COMPLEXITY MULTIMODE ANTENNA SELECTION WITH BIT ALLOCATION FOR ZERO-FORCING RECEIVER
Yeh Wan-Chen, Shang-Ho Tsai, Pu-Hsuan Lin, National Chiao Tung University, Taiwan
SPCOM-P1.8: JOINT LINEAR PRECODER OPTIMIZATION AND BASE STATION SELECTION FOR AN UPLINK MIMO NETWORK: A GAME THEORETIC APPROACH
Mingyi Hong, Zhi-Quan Luo, University of Minnesota, United States
SPCOM-P1.9: OPTIMAL TRANSMISSION STRATEGY FOR OUTAGE RATE MAXIMIZATION IN MISO FADING CHANNELS WITH TRAINING
Kun-Yu Wang, Tsung-Hui Chang, National Tsing Hua University, Taiwan; Wing-Kin (Ken) Ma, The Chinese University of Hong Kong, Hong Kong SAR of China; Chong-Yung Chi, National Tsing Hua University, Taiwan
SPCOM-P1.10: CONSTANT ENVELOPE PRECODING FOR POWER-EFFICIENT DOWNLINK WIRELESS COMMUNICATION IN MULTI-USER MIMO SYSTEMS USING LARGE ANTENNA ARRAYS
Saif Khan Mohammed, Erik G. Larsson, Linköping University, Sweden
SPCOM-P1.11: DISTRIBUTED ROBUST BEAMFORMING FOR MIMO COGNITIVE NETWORKS
Yu Zhang, Emiliano Dall'Anese, Georgios B. Giannakis, University of Minnesota, United States
SPCOM-P1.12: STATISTICAL ROUTING FOR COGNITIVE RANDOM ACCESS NETWORKS
Emiliano Dall'Anese, Georgios B. Giannakis, University of Minnesota, United States
SPCOM-P2.1: JOINT ENTROPY-SCALABLE CODING OF AUDIO SIGNALS
Mahmood Movassagh, Joachim Thiemann, Peter Kabal, McGill University, Canada
SPCOM-P2.2: ROBUSTNESS OF XAMPLING-BASED RF RECEIVERS AGAINST ANALOG MISMATCHES
Chiranjib Choudhuri, University of Southern California, United States; Abhishek Ghosh, University of California at Los Angeles, United States; Urbashi Mitra, University of Southern California, United States; Sudhakar Pamarti, University of California at Los Angeles, United States
SPCOM-P2.3: DISTRIBUTED POLARIZING TRANSMISSIONS VIA BROADCAST SWITCHING ON FREQUENCY SELECTIVE FADING CHANNELS
Chengrong Huang, Guangxi Economic Trade Polytechnic, China; Ying Guo, Central South University, China; Tae-Chol Shin, Moon Ho Lee, Chonbuk National University, Republic of Korea
SPCOM-P2.4: DISTRIBUTED CODING OF SOURCES WITH BURSTY CORRELATION
Elsa Dupraz, Francesca Bassi, Thomas Rodet, Michel Kieffer, Laboratoire des Signaux et Systèmes, France
SPCOM-P2.5: MAP ESTIMATION OF THE INPUT OF AN OVERSAMPLED FILTER BANK FROM NOISY SUBBANDS BY BELIEF PROPAGATION
Qiuyun Wang, L2S - CNRS - SUPELEC - Univ Paris-Sud, France; Manel Abid, Télécom ParisTech, France; Michel Kieffer, L2S - CNRS - SUPELEC - Univ Paris-Sud, France; Béatrice Pesquet-Popescu, Télécom ParisTech, France
SPCOM-P2.6: DISTRIBUTED TRANSFORM CODING VIA SOURCE-SPLITTING
Pradeepa Yahampath, University of Manitoba, Canada
SPCOM-P2.7: MULTI-SOURCE COOPERATIVE TRANSMISSION WITH NETWORK CODING
Yu-Han Yang, Zhenzhen Gao, K. J. Ray Liu, University of Maryland Baltimore County, United States
SPCOM-P2.8: QUASI-CYCLIC LOW-DENSITY PARITY-CHECK CODES BASED ON DECODER OPTIMISED PROGRESSIVE EDGE GROWTH FOR SHORT BLOCKS
Cornelius Healy, Rodrigo de Lamare, University of York, United Kingdom
SPCOM-P2.9: OPTIMAL SAMPLING STRUCTURE FOR ASYNCHRONOUS MULTI-ACCESS CHANNELS
Xiao Li, Andrea Rueetschi, Anna Scaglione, University of California at Davis, United States; Yonina C. Eldar, Technion – Israel Institute of Technology, Israel
SPCOM-P2.10: SPREADING CODE SELECTION AND POWER CONTROL STRATEGY FOR WARP CONVERGING MULTIUSER DETECTION IN ASYNCHRONOUS CDMA SYSTEMS
Xiaoli Wang, Hongya Ge, New Jersey Institute of Technology, United States
SPCOM-P2.11: INFERENCE USING PHI-DIVERGENCE GOODNESS-OF-FIT TESTS
Nikhil Kundargi, Ahmed Tewfik, The University of Texas at Austin, United States
SPCOM-P2.12: PRECODING TECHNIQUE FOR PEAK-TO-AVERAGE-POWER-RATIO (PAPR) REDUCTION IN MIMO OFDM/A SYSTEMS
Seyran Khademi, Alle-Jan Van der Veen, Delft University of Technology, Netherlands; Thomas Svantesson, ArrayComm, United States
SPCOM-P3.1: REGULARIZED LINEAR EQUALIZATION FOR MULTIPATH CHANNELS WITH IMPERFECT CHANNEL ESTIMATION
Jun Tong, Peter Schreier, Universität Paderborn, Germany
SPCOM-P3.2: CLOCK SKEW CALIBRATION FOR UWB RANGING
Yiyin Wang, Zijian Tang, Geert Leus, Delft University of Technology, Netherlands
SPCOM-P3.3: A SUBSPACE-BASED METHOD FOR BLIND CFO ESTIMATION IN OFDM SYSTEMS
Yen-Chang Pan, See-May Phoong, National Taiwan University, Taiwan
SPCOM-P3.4: OPTIMAL WIRELESS MULTIUSER CHANNELS WITH IMPERFECT CHANNEL STATE INFORMATION
Yichuan Hu, Alejandro Ribeiro, University of Pennsylvania, United States
SPCOM-P3.5: OPTIMAL STOCHASTIC SIGNAL DESIGN AND DETECTOR RANDOMIZATION IN THE NEYMAN-PEARSON FRAMEWORK
Berkan Dulek, Sinan Gezici, Bilkent University, Turkey
SPCOM-P3.6: TIME- OR FREQUENCY-DOMAIN EQUALIZATION FOR WIDEBAND OFDM CHANNELS?
Tao Xu, Delft University of Technology, Netherlands; Zijian Tang, TNO-Netherlands Organisation for Applied Scientific Researc, Netherlands; Geert Leus, Delft University of Technology, Netherlands; Urbashi Mitra, University of Southern California, Netherlands
SPCOM-P3.7: MINIMAX AND GENERALIZED LIKELIHOOD RATIO TEST FOR NONCOHERENT FH/BFSK IN BAND MULTITONE JAMMING
Yi-Chen Chen, University of Maryland, United States
SPCOM-P3.8: ADAPTIVE ITERATIVE DECISION MULTI-FEEDBACK DETECTION FOR MULTI-USER MIMO SYSTEMS
Peng Li, Jingjing Liu, Rodrigo C. de Lamare, The University of York, United Kingdom
SPCOM-P3.9: MODIFIED ZIV-ZAKAI BOUND FOR TIME-OF-ARRIVAL ESTIMATION OF GNSS SIGNAL-IN-SPACE
Andrea Emmanuele, Marco Luise, University of Pisa, Italy; Francesca Zanier, Massimo Crisci, European Space Agency (ESA), Netherlands
SPCOM-P3.10: ROBUST MAXIMIN MIMO PRECODING FOR ARBITRARY CONVEX UNCERTAINTY SETS
Jiaheng Wang, Southeast University, China; Mats Bengtsson, Björn Ottersten, KTH Royal Institute of Technology, Sweden; Daniel P. Palomar, Hong Kong University of Science and Technology, Hong Kong SAR of China
SPCOM-P3.11: A DIFFERENTIAL FEEDBACK SCHEME FOR EQUAL GAIN TRANSMISSION IN TEMPORALLY CORRELATED CHANNELS
Chi-Liang Chao, Chunghwa Telecom, Taiwan; Shang-Ho Tsai, Terng-Yin Hsu, National Chiao Tung University, Taiwan
SPCOM-P3.12: AN INCREMENTAL GRASSMANNIAN FEEDBACK SCHEME FOR LINEARLY PRECODED SPATIAL MULTIPLEXING MIMO SYSTEMS
Ahmed Medra, Timothy Davidson, McMaster University, Canada
SPCOM-P4.1: A NOVEL USE OF STOCHASTIC APPROXIMATION ALGORITHMS FOR ESTIMATING DEGREE OF EACH NODE IN SOCIAL NETWORKS
Maziyar Hamdi, Vikram Krishnamurthy, University of British Columbia, Canada
SPCOM-P4.2: NONCOHERENT MISBEHAVIOR DETECTION IN SPACE-TIME CODED COOPERATIVE NETWORKS
Li-Chung Lo, Zhao-Jie Wang, Wan-Jen Huang, National Sun Yat-Sen University, Taiwan
SPCOM-P4.3: MULTI-GRAPH SAMPLING OF ONLINE COMMUNITIES VIA MEAN HITTING TIME
Jacob Chakareski, École Polytechnique Fédérale de Lausanne, Switzerland
SPCOM-P4.4: TWITTER VS. PRINTED ENGLISH: AN INFORMATION-THEORETIC COMPARISON
Emma Glennon, Lalitha Sankar, H. Vincent Poor, Princeton University, United States
SPCOM-P4.5: PHASE TRANSITION IN OPINION DIFFUSION IN SOCIAL NETWORKS
Lin Li, Anna Scaglione, University of California at Davis, United States; Ananthram Swami, U.S. Army Research Laboratory, United States; Qing Zhao, University of California at Davis, United States
SPCOM-P4.6: HEURISTIC RATIONAL MODELS IN SOCIAL NETWORKS
Ceyhun Eksin, Alejandro Ribeiro, University of Pennsylvania, United States
SPCOM-P4.7: OPTIMAL TIME-OF-USE ELECTRICITY PRICING USING GAME THEORY
Peng Yang, Gongguo Tang, Arye Nehorai, Washington University in St. Louis, United States
SPCOM-P4.8: DISTRIBUTED COMPRESSION FOR CONDITION MONITORING OF WIND FARMS
Shuang Wang, Samuel Cheng, University of Oklahoma, United States; Vladimir Stankovic, Lina Stankovic, University of Strathclyde, United Kingdom
SPCOM-P4.9: CYCLOSTATIONARY NOISE MODELING IN NARROWBAND POWERLINE COMMUNICATION FOR SMART GRID APPLICATIONS
Marcel Nassar, The University of Texas at Austin, United States; Anand Dabak, Il Han Kim, Tarkesh Pande, Texas Instruments, Inc., United States; Brian L. Evans, The University of Texas at Austin, United States
SPCOM-P4.10: CONVERGENCE ANALYSIS OF SADDLE POINT PROBLEMS IN TIME VARYING WIRELESS SYSTEMS - CONTROL THEORETICAL APPROACH
Junting Chen, Vincent Lau, The Hong Kong University of Science and Technology, Hong Kong SAR of China
SPCOM-P4.11: DISTRIBUTED GROUP TESTING DETECTION IN SENSOR NETWORKS
Tamara Tosic, Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland
SPCOM-P4.12: ON THE IMPACT OF DUTY CYCLE ON THE ESTIMATION OF SPATIAL FIELDS WITH COMPRESSED OBSERVATIONS IN M2M CAPILLARY NETWORKS
Javier Matamoros, Carles Antón-Haro, Centre Tecnològic de Telecomunicacions de Catalunya, Spain
SPCOM-P5.1: OPTIMAL TRANSMIT POWER ALLOCATION IN WIRELESS SENSOR NETWORKS PERFORMING FIELD RECONSTRUCTION
Günter Reise, Gerald Matz, Vienna University of Technology, Austria
SPCOM-P5.2: DISTRIBUTED ESTIMATION IN SENSOR NETWORKS WITH IMPERFECT MODEL INFORMATION: AN ADAPTIVE LEARNING-BASED APPROACH
Qing Zhou, Texas A&M University, United States; Soummya Kar, Carnegie Mellon University, United States; Lauren Huie, Air Force Research Laboratory, United States; Shuguang Cui, Texas A&M University, United States
SPCOM-P5.3: TIME-VARYING CLOCK OFFSET ESTIMATION IN TWO-WAY TIMING MESSAGE EXCHANGE IN WIRELESS SENSOR NETWORKS USING FACTOR GRAPHS
Aitzaz Ahmad, Texas A&M University, United States; Davide Zennaro, University of Padova, Italy; Erchin Serpedin, Texas A&M University, United States; Lorenzo Vangelista, University of Padova, Italy
SPCOM-P5.4: A NEW BROADCAST BASED DISTRIBUTED AVERAGING ALGORITHM OVER WIRELESS SENSOR NETWORKS
Franck Iutzeler, Philippe Ciblat, Institut Télécom / Télécom ParisTech / CNRS LTCI, France; Walid Hachem, CNRS LTCI ; Télécom ParisTech, France; Jérémie Jakubowicz, Institut Télécom / Télécom ParisTech / CNRS LTCI, France
SPCOM-P5.5: HIERARCHICAL AVERAGING OVER WIRELESS SENSOR NETWORKS
Matthew Nokleby, Rice University, United States; Waheed Bajwa, Rutgers University, United States; Robert Calderbank, Duke University, United States; Behnaam Aazhang, Rice University, United States
SPCOM-P5.6: COOPERATIVE AND DISTRIBUTED LOCALIZATION FOR WIRELESS SENSOR NETWORKS IN MULTIPATH ENVIRONMENTS
Mei Leng, Wee Peng Tay, Nanyang Technological University, Singapore; Tony Q. S. Quek, Institute for Infocomm Research, Singapore
SPCOM-P5.7: NONLINEAR AVERAGE CONSENSUS BASED ON WEIGHT MORPHING
Valentin Schwarz, Gerald Matz, Vienna University of Technology, Austria
SPCOM-P5.8: IMPACT OF TRAINING ON THE TRANSMISSION CAPACITY OF WIRELESS AD HOC NETWORKS
Yueping Wu, Hong Kong University of Science and Technology, Hong Kong SAR of China; Raymond Louie, University of Sydney, Australia; Matthew McKay, Hong Kong University of Science and Technology, Hong Kong SAR of China
SPCOM-P5.9: SPECTRUM SHARING BETWEEN RANDOM GEOMETRIC NETWORKS
Ran Cai, The Chinese University of Hong Kong, Hong Kong SAR of China; Wei Zhang, University of New South Wales, Australia; P. C. Ching, The Chinese University of Hong Kong, Hong Kong SAR of China
SPCOM-P5.10: CHANNEL AND SENSING AWARE CHANNEL ACCESS POLICY FOR MULTI-CHANNEL COGNITIVE RADIO NETWORKS
Shu-Hsien Wang, Chih-Yu Hsu, Y.-W. Peter Hong, National Tsing Hua University, Taiwan
SPCOM-P5.11: MAKING OVERLAY COGNITIVE RADIOS PRACTICAL
Liangping Ma, Weimin Liu, Ariela Zeira, InterDigital Communications, Inc., United States
SPCOM-P5.12: MATCHED FILTERING ASSISTED ENERGY DETECTION FOR SENSING WEAK PRIMARY USER SIGNALS
Liangping Ma, Yingxue Li, Alpaslan Demir, InterDigital Communications, Inc., United States
SPCOM-P6.1: COST REFERENCE PARTICLE FILTER IN DATA AIDED CHANNEL ESTIMATION AND PHASE NOISE TRACKING FOR OFDM SYSTEMS
Senay Negusse, Per Zetterberg, KTH Royal Institute of Technology, Sweden
SPCOM-P6.2: MAP BASED DIFFERENTIAL DETECTORS FOR COMPRESSED UWB IMPULSE RADIO SIGNALS
Shahzad Gishkori, Geert Leus, Delft University of Technology, Netherlands; Vincenzo Lottici, University of Pisa, Italy
SPCOM-P6.3: OFDM CARRIER FREQUENCY OFFSET CORRECTION BASED ON TYPE-2 CONTROL LOOP
Xiaofei Chen, San Diego State University, United States; Zhongren Cao, University of California at San Diego, United States; Fredric Harris, San Diego State University, United States; Bhaskar D. Rao, University of California at San Diego, United States
SPCOM-P6.4: GENERALIZED MATCHED FILTER DETECTOR FOR FAST FADING CHANNELS
Daniel Romero, Roberto López-Valcarce, University of Vigo, Spain; Geert Leus, Delft University of Technology, Netherlands
SPCOM-P6.5: DIGITAL PREDISTORTION BASED ON ENVELOPE FEEDBACK
Jinhyun So, Korea Advanced Institute of Science and Technology, Republic of Korea; Sungho Choi, Agency for Defense Development, Republic of Korea; Seung Hyeok Ahn, Korea Advanced Institute of Science and Technology, Republic of Korea; Eui-Rim Jeong, Hanbat University, Republic of Korea; Yong H. Lee, Korea Advanced Institute of Science and Technology, Republic of Korea
SPCOM-P6.6: ON THE FLUCTUATIONS OF THE SINR AT THE OUTPUT OF THE WIENER FILTER FOR NON CENTERED CHANNELS: THE NON GAUSSIAN CASE
Abla Kammoun, Malika Kharouf, Télécom ParisTech, France; Romain Couillet, Supélec, France; Jamal Najim, Télécom ParisTech, France; Mérouane Debbah, Supélec, France
SPCOM-P6.7: APPROXIMATE MESSAGE PASSING UNDER FINITE ALPHABET CONSTRAINTS
Andreas Muller, University of Bristol, United Kingdom; Dino Sejdinovic, University College London, United Kingdom; Robert Piechocki, University of Bristol, United Kingdom
SPCOM-P6.8: DECIMATED LEAST MEAN SQUARES FOR FREQUENCY SPARSE CHANNEL ESTIMATION
Omid Taheri, Sergiy A. Vorobyov, University of Alberta, Canada
SPCOM-P6.9: SPARSE SUBSPACE TRACKING TECHNIQUES FOR ADAPTIVE BLIND CHANNEL IDENTIFICATION IN OFDM SYSTEMS
Christos G. Tsinos, Aris S. Lalos, Kostas Berberidis, University of Patras, Greece
SPCOM-P6.10: EM-BASED H-INF CHANNEL ESTIMATION IN MIMO-OFDM SYSTEMS
Peng Xu, Jinkuan Wang, Northeastern University at Qinhuagndao, China; Feng Qi, Advanced Science Institute, RIKEN, Japan
SPCOM-P6.11: LOW COMPLEXITY EQUALIZATION FOR SINGLE CARRIER TRANSMISSIONS OVER DOUBLY-SELECTIVE CHANNELS USING LINEAR APPROXIMATION
Shuichi Ohno, Emmanuel Manasseh, Masayoshi Nakamoto, Hiroshima University, Japan
SPCOM-P6.12: ON PRECONDITIONED CONJUGATE GRADIENT METHOD FOR TIME-VARYING OFDM CHANNEL EQUALIZATION
Zijian Tang, Rob Remis, Delft University of Technology, Netherlands; Magnus Lundberg Nordenvaad, Swedish Defence Research Agency, Sweden
SPCOM-P6.13: ENERGY HARVESTING IN AN OSTBC BASED AMPLIFY-AND-FORWARD MIMO RELAY SYSTEM
Batu Krishna Chalise, Yimin D. Zhang, Moeness G. Amin, Villanova University, United States
SPCOM-P7.1: OPTIMIZATION OF TRANSMIT SIGNALS TO INTERFERE AN EAVESDROPPER WITH MULTIPLE ANTENNAS
Shuichi Ohno, Hiroshima University, Japan; Yuji Wakasa, Yamaguchi University, Japan; Shui Qiang Yan, Hiroshima University, Japan
SPCOM-P7.2: FREQUENCY SYNCHRONIZATION AND CHANNEL EQUALIZATION FOR AN OFDM-IDMA UPLINK SYSTEM
Héctor Poveda, Guillaume Ferré, Eric Grivel, Universite Bordeaux 1 - IPB-ENSEIRB-MATMECA, Equipe Signal & Image, France
SPCOM-P7.3: MULTI-HOP, MULTI-ROUTE POWER MINIMISATION IN AD HOC NETWORK
Pierre Gerold, Thi-Thuy-Ngoc Pham, Florence Alberge, Pierre Duhamel, Laboratoire des Signaux et Systèmes, Univ. Paris-Sud, CNRS, Supelec, France
SPCOM-P7.4: JOINT NETWORK OPTIMIZATION AND BEAMFORMING FOR COORDINATED MULTI-POINT TRANSMISSION USING MIXED INTEGER PROGRAMMING
Yong Cheng, Sarah Drewes, Anne Philipp, Marius Pesavento, Technische Universität Darmstadt, Germany
SPCOM-P7.5: ASYMPTOTIC ANALYSIS OF A PARTIAL FEEDBACK OFDMA SYSTEM EMPLOYING SPATIAL, SPECTRAL, AND MULTIUSER DIVERSITY
Yichao Huang, Bhaskar D. Rao, University of California at San Diego, United States
SPCOM-P7.6: TRANSMIT BEAMFORMING FOR THE MISO INTERFERENCE CHANNEL WITH ASYMMETRIC LINK GAINS
Miguel Ángel Vázquez, Ana Pérez-Neira, Miguel Ángel Lagunas, Centre Tecnològic de Telecomunicacions de Catalunya, Spain
SPCOM-P7.7: ROBUST DOWNLINK BEAMFORMING IN MULTI-GROUP MULTICASTING USING TRACE BOUNDS ON THE COVARIANCE MISMATCHES
Ka Lung Law, Imran Wajid, Marius Pesavento, Darmstadt University of Technology, Germany
SPCOM-P7.8: OPPORTUNISTIC SECONDARY SPECTRUM SHARING PROTOCOLS FOR PRIMARY IMPLEMENTING AN IR TYPE HYBRID-ARQ PROTOCOL
Romain Tajan, ENSEA - University of Cergy Pontoise, France; Charly Poulliat, ENSEEIHT - University Toulouse, France; Inbar Fijalkow, ENSEA - University of Cergy Pontoise, France
SPCOM-P7.9: BEAMFORMING FOR MULTI-GROUP MULTICASTING WITH STATISTICAL CHANNEL STATE INFORMATION USING SECOND-ORDER CONE PROGRAMMING
Nils Bornhorst, Marius Pesavento, Technische Universität Darmstadt, Germany
SPCOM-P7.10: LOW-COMPLEXITY SUCCESSIVE INTERCELL INTERFERENCE CANCELLATION
Kun Fang, Gunther Auer, Hidekazu Taoka, DOCOMO Communications Laboratories Europe GmbH, Germany
SPCOM-P7.11: WEIGHTED SUM RATE OPTIMIZATION FOR DOWNLINK MULTIUSER MIMO SYSTEMS WITH PER ANTENNA POWER CONSTRAINT: DOWNLINK-UPLINK DUALITY APPROACH
Tadilo Endeshaw Bogale, Luc Vandendorpe, University Catholique de Louvain, Belgium
SPCOM-P7.12: EVD-BASED CHANNEL ESTIMATION IN MULTICELL MULTIUSER MIMO SYSTEMS WITH VERY LARGE ANTENNA ARRAYS
Hien Quoc Ngo, Erik G. Larsson, Linköping University, Sweden
SPTM-L1.1: A BAYESIAN DERIVATION OF GENERALIZED COHERENCE DETECTORS
Songsri Sirianunpiboon, Stephen D. Howard, Defence Science and Technology Organisation, Australia; Douglas Cochran, Arizona State University, United States
SPTM-L1.2: DETECTION OF SPARSE RANDOM SIGNALS USING COMPRESSIVE MEASUREMENTS
Bhavani Shankar Mysore Rama Rao, University of Luxembourg, Luxembourg; Saikat Chatterjee, Royal Institute of Technology, Sweden; Bjorn Ottersten, University of Luxembourg, Luxembourg
SPTM-L1.3: ERROR EXPONENTS FOR COMPOSITE HYPOTHESIS TESTING WITH SMALL SAMPLES
Dayu Huang, Sean Meyn, University of Illinois at Urbana-Champaign, United States
SPTM-L1.4: GOODNESS-OF-FIT STATISTICS FOR ANOMALY DETECTION IN CHUNG-LU RANDOM GRAPHS
Benjamin A. Miller, MIT Lincoln Laboratory, United States; Lauren H. Stephens, Massachusetts Institute of Technology, United States; Nadya T. Bliss, MIT Lincoln Laboratory, United States
SPTM-L1.5: SEQUENTIAL HYPOTHESIS TESTING WITH OFF-LINE RANDOMIZED SENSOR SELECTION STRATEGY
Cheng-Zong Bai, Vijay Gupta, Yih-Fang Huang, University of Notre Dame, United States
SPTM-L1.6: PROBABILITY HYPOTHESIS DENSITY FILTERING WITH MULTIPATH-TO-MEASUREMENT ASSOCIATION FOR URBAN TRACKING
Meng Zhou, Arizona State University, United States; Jun Jason Zhang, University of Denver, United States; Antonia Papandreou-Suppappola, Arizona State University, United States
SPTM-L2.1: GENERALIZED THRESHOLDING SPARSITY-AWARE ALGORITHM FOR LOW COMPLEXITY ONLINE LEARNING
Yannis Kopsinis, University of Granada, Spain; Konstantinos Slavakis, University of Peloponnese, Greece; Sergios Theodoridis, University of Athens, Greece; Steve McLaughlin, University of Edinburgh, United Kingdom
SPTM-L2.2: SPARSE DIFFUSION LMS FOR DISTRIBUTED ADAPTIVE ESTIMATION
Paolo Di Lorenzo, Sergio Barbarossa, Sapienza University of Rome, Italy; Ali H. Sayed, University of California, United States
SPTM-L2.3: COMPLEX PROPORTIONATE-TYPE NORMALIZED LEAST MEAN SQUARE ALGORITHMS
Kevin Wagner, Naval Research Laboratory, United States; Milos Doroslovacki, The George Washington University, United States
SPTM-L2.4: AVERAGING STABILITY ANALYSIS OF A NEW ATTITUDE ESTIMATION ALGORITHM
Victor Solo, University of New South Wales, Australia
SPTM-L2.5: LOW-COMPLEXITY VARIABLE FORGETTING FACTOR MECHANISM FOR BLIND ADAPTIVE CONSTRAINED CONSTANT MODULUS ALGORITHMS
Yunlong Cai, Zhejiang University, China; Rodrigo de Lamare, University of York, United Kingdom; Minjian Zhao, Jie Zhong, Zhejiang University, China
SPTM-L2.6: REACHING CONSENSUS ON A BINARY STATE BY EXCHANGING BINARY ACTIONS
Yunlong Wang, Petar Djuric, Stony Brook University, United States
SPTM-L3.1: PETRELS: SUBSPACE ESTIMATION AND TRACKING FROM PARTIAL OBSERVATIONS
Yuejie Chi, Princeton University, United States; Yonina C. Eldar, Technion – Israel Institute of Technology, Israel; Robert Calderbank, Duke University, United States
SPTM-L3.2: BOOLEAN COMPRESSED SENSING: LP RELAXATION FOR GROUP TESTING
Dmitry Malioutov, DRW Holdings, United States; Mikhail Malyutov, Northeastern University, United States
SPTM-L3.3: SUPPORT DRIVEN REWEIGHTED L1 MINIMIZATION
Hassan Mansour, Ozgur Yilmaz, University of British Columbia, Canada
SPTM-L3.4: EXPECTATION MAXIMIZATION BASED MATCHING PURSUIT
Ali Cafer Gürbüz, TOBB university of economics and technology, Turkey; Mert Pilanci, University of California at Berkeley, United States; Orhan Arikan, Bilkent University, Turkey
SPTM-L3.5: U-INVARIANT SAMPLING AND STABLE RECONSTRUCTION IN ATOMIC SPACES
Volker Pohl, Holger Boche, Technische Universität München, Germany
SPTM-L3.6: BLOCK-SPARSITY PATTERN RECOVERY FROM NOISY OBSERVATIONS
Jun Fang, University of Electronic Science and Technology of China, China; Hongbin Li, Stevens Institute of Technology, United States
SPTM-L4.1: COMPRESSIVE VIDEO RECOVERY WITH UPPER AND LOWER BOUND CONSTRAINTS
David Jones, Rachel Schlick, Roummel Marcia, University of California at Merced, United States
SPTM-L4.2: FILTERED VARIATION METHOD FOR DENOISING AND SPARSE SIGNAL PROCESSING
Kivanc Kose, Bilkent University, Turkey; Volkan Cevher, École Polytechnique Fédérale de Lausanne, Switzerland; A. Enis Cetin, Bilkent University, Turkey
SPTM-L4.3: EFFICIENT RECOVERY OF BLOCK SPARSE SIGNALS VIA ZERO-POINT ATTRACTING PROJECTION
Jingbo Liu, Jian Jin, Yuantao Gu, Tsinghua University, China
SPTM-L4.4: DESIGN OF UNIVERSAL MULTICOSET SAMPLING PATTERNS FOR COMPRESSED SENSING OF MULTIBAND SPARSE SIGNALS
María Elena Domínguez-Jiménez, Universidad Politécnica de Madrid, Spain; Nuria González-Prelcic, Gonzalo Vazquez-Vilar, Roberto López-Valcarce, Universidade de Vigo, Spain
SPTM-L4.5: DICTIONARY LEARNING FROM SPARSELY CORRUPTED OR COMPRESSED SIGNALS
Christoph Studer, Richard Baraniuk, Rice University, United States
SPTM-L4.6: RECOVERY OF BLOCK SPARSE SIGNALS USING THE FRAMEWORK OF BLOCK SPARSE BAYESIAN LEARNING
Zhilin Zhang, Bhaskar D. Rao, University of California at San Diego, United States
SPTM-L5.1: PERFORMANCE OF THE STOCHASTIC MV-PURE ESTIMATOR WITH EXPLICIT MODELING OF UNCERTAINTY
Tomasz Piotrowski, Nicolaus Copernicus University, Poland; Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-L5.2: TWO DIMENSIONAL FREQUENCY ESTIMATION BY INTERPOLATION ON FOURIER COEFFICIENTS
Shanglin Ye, Elias Aboutanios, The University of New South Wales, Australia
SPTM-L5.3: A GAUSSIAN PROCESS REGRESSION APPROACH FOR TESTING GRANGER CAUSALITY BETWEEN TIME SERIES DATA
Pierre-Olivier Amblard, University of Melbourne, Australia; Olivier J.J. Michel, GIPSA-Lab Grenoble-INP, France; Cédric Richard, Université Nice-Sophia Antipolis, France; Paul Honeine, Université Technologique de Troyes, France
SPTM-L5.4: SOURCE ENUMERATION USING THE PDF OF SAMPLE EIGENVALUES VIA INFORMATION THEORETIC CRITERIA
Zhihua Lu, Technische Universitaet Darmstadt, Germany; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-L5.5: CALIBRATION OF HIGH-DIMENSIONAL PRECISION MATRICES UNDER QUADRATIC LOSS
Mengyi Zhang, Francisco Rubio, Daniel P. Palomar, Hong Kong University of Science and Technology, Hong Kong SAR of China
SPTM-L5.6: A MAP BASED ESTIMATOR FOR INVERSE COMPLEX COVARIANCE MATRICIES
Magnus Nordenvaad, Uppsala University, Sweden; Lennart Svensson, Chalmers University of Technology, Sweden
SPTM-L6.1: LEARNING OF STRUCTURED GRAPH DICTIONARIES
Xuan Zhang, Xiaowen Dong, Pascal Frossard, École Polytechnique Fédérale de Lausanne, Switzerland
SPTM-L6.2: COMPRESSED SENSING-BASED FREQUENCY SELECTION FOR CLASSIFICATION OF GROUND PENETRATING RADAR SIGNALS
Wenbin Shao, Abdesselam Bouzerdoum, Son Lam Phung, University of Wollongong, Australia
SPTM-L6.3: NONPARAMETRIC BAYESIAN SUPERVISED CLASSIFICATION OF FUNCTIONAL DATA
Asma Rabaoui, IMS laboratory, France; Hachem Kadri, INRIA, France; Manuel Davy, VEKIA, France
SPTM-L6.4: RAPID CLASSIFICATION OF VEHICLE HEADING DIRECTION WITH TWO-AXIS MAGNETOMETER
Niklas Wahlström, Linköping University, Sweden; Roland Hostettler, Luleå University of Technology, Sweden; Fredrik Gustafsson, Linköping University, Sweden; Wolfgang Birk, Luleå University of Technology, Sweden
SPTM-L6.5: NEIGHBORHOOD PRESERVING NON-NEGATIVE TENSOR FACTORIZATION FOR IMAGE REPRESENTATION
Yu-Xiong Wang, Liang-Yan Gui, Yu-Jin Zhang, Tsinghua University, China
SPTM-L6.6: SPARSE REPRESENTATION BASED CLASSIFICATION FOR MINE HUNTING USING SYNTHETIC APERTURE SONAR
Raquel Fandos, Leyna Sadamori, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-L7.1: TIME-FREQUENCY ANALYSIS OF MULTIPATH DOPPLER SIGNATURES OF MANEUVERING TARGETS
Cornel Ioana, Grenoble Institute of Technology, France; Yimin Zhang, Moeness G. Amin, Fauzia Ahmad, Villanova University, United States; Braham Himed, Air Force Research Laboratory, United States
SPTM-L7.2: TIME-FREQUENCY TRACKING USING MULTI-WINDOW LOCAL PHASE ANALYSIS
Florian Dadouchi, Grenoble Institute of Technology, France; James W. Pitton, University of Washington, United States; Cornel Ioana, Cédric Gervaise, Grenoble Institute of Technology, France
SPTM-L7.3: AMBIGUITY FUNCTION AND WIGNER DISTRIBUTION ON THE SPHERE
Zubair Khalid, Salman Durrani, Parastoo Sadeghi, Rodney Kennedy, Research School of Engineering, The Australian National University, Australia
SPTM-L7.4: A MODIFIED TIME-FREQUENCY METHOD FOR TESTING WIDE-SENSE STATIONARITY
Douglas Baptista de Souza, Jocelyn Chanussot, Grenoble Institute of Technology / GIPSA-Lab, France; Anne-Catherine Favre, Grenoble Institute of Technology / LTHE, France; Pierre Borgnat, ENS Lyon, France
SPTM-L7.5: ADAPTIVE SPARSE OPTIMIZATION FOR COHERENT AND QUASI-STATIONARY PROBLEMS USING CONTEXT-BASED CONSTRAINTS
Ananya Sen Gupta, James Preisig, Woods Hole Oceanographic Institution, United States
SPTM-L7.6: GENERALISED PHASE SYNCHRONY WITHIN MULTIVARIATE SIGNALS: AN EMERGING CONCEPT IN TIME-FREQUENCY ANALYSIS
Amir Omidvarnia, The University of Queensland, Australia; Boualem Boashash, Qatar University College of Engineering, Qatar; Ghasem Azemi, Paul Colditz, Sampsa Vanhatalo, The University of Queensland, Australia
SPTM-P1.1: SYNTHESIS AND ANALYSIS PRIOR ALGORITHMS FOR JOINT-SPARSE RECOVERY
Angshul Majumdar, Rabab Ward, University of British Columbia, Canada
SPTM-P1.2: WEIGHTED SPARSE SIGNAL DECOMPOSITION
Massoud Babaie-Zadeh, Sharif University of Technology, Iran; Behzad Mehrdad, New York University, United States; Georgios B. Giannakis, University of Minnesota, United States
SPTM-P1.3: ON THE LAGRANGIAN BIDUALITY OF SPARSITY MINIMIZATION PROBLEMS
Dheeraj Singaraju, University of California at Berkeley, United States; Roberto Tron, Ehsan Elhamifar, The Johns Hopkins University, United States; Allen Y. Yang, S. Shankar Sastry, University of California at Berkeley, United States
SPTM-P1.4: A PROXIMAL APPROACH FOR CONSTRAINED COSPARSE MODELLING
Giovanni Chierchia, Télécom ParisTech / Institut Télécom, France; Nelly Pustelnik, Laboratoire de Physique de l'École Normale Supérieure de Lyon, France; Jean-Christophe Pesquet, Université Paris-Est, France; Béatrice Pesquet-Popescu, Télécom ParisTech / Institut Télécom, France
SPTM-P1.5: THE LOCALLY MOST POWERFUL TEST FOR MULTIANTENNA SPECTRUM SENSING WITH UNCALIBRATED RECEIVERS
David Ramírez, Universität Paderborn, Germany; Javier Vía Rodríguez, Ignacio Santamaría, University of Cantabria, Spain
SPTM-P1.6: FINDING NEEDLES IN COMPRESSED HAYSTACKS
Robert Calderbank, Duke University, United States; Sina Jafarpour, Yahoo! Research, United States
SPTM-P1.7: COMPRESSED SENSING ENHANCED RANDOM EQUIVALENT SAMPLING
Yijiu Zhao, University of Electronic Science and Technology of China, China; Yu Hen Hu, University of Wisconsin - Madison, United States; Houjun Wang, University of Electronic Science and Technology of China, China
SPTM-P1.8: PHASE RETRIEVAL FOR SPARSE SIGNALS USING RANK MINIMIZATION
Kishore Jaganathan, Samet Oymak, Babak Hassibi, California Institute of Technology, United States
SPTM-P1.9: SPARSE SIGNAL RECONSTRUCTION BASED ON SIGNAL DEPENDENT NON-UNIFORM SAMPLES
Neeraj Sharma, Thippur V. Sreenivas, Indian Institute of Science, India
SPTM-P1.10: ON THE DESIGN OF OPTIMIZED PROJECTIONS FOR SENSING SPARSE SIGNALS IN OVERCOMPLETE DICTIONARIES
Wei Chen, University of Cambridge, United Kingdom; Miguel R. D. Rodrigues, Universidade do Porto, Portugal; Ian Wassell, University of Cambridge, United Kingdom
SPTM-P1.11: NEURAL ACTIVITY TRACKING USING SPATIAL COMPRESSIVE PARTICLE FILTERING
Lifeng Miao, Arizona State University, United States; Jun Jason Zhang, University of Denver, United States; Antonia Papandreou-Suppappola, Chaitali Chakrabarti, Arizona State University, United States
SPTM-P1.12: ADAPTIVE COMPRESSED SENSING FOR VIDEO ACQUISITION
Hassan Mansour, Ozgur Yilmaz, University of British Columbia, Canada
SPTM-P2.1: MULTIPLIERLESS FAST ALGORITHM FOR DCT VIA FAST HARTLEY TRANSFORM
Taizo Suzuki, Nihon University, Japan; Yuichi Tanaka, Utsunomiya University, Japan; Masaaki Ikehara, Keio University, Japan; Hirotomo Aso, Nihon University, Japan
SPTM-P2.2: MATRIX PARAMETRIZATION OF COMPACTLY SUPPORTED ORTHONORMAL WAVELETS
Mohamed Mansour, Texas Instruments, Inc., United States
SPTM-P2.3: ON FACTORIZATIONS OF CONJUGATE SYMMETRIC HADAMARD TRANSFORM AND ITS RELATIONSHIP WITH DCT
Seisuke Kyochi, Keio University, Japan; Yuichi Tanaka, Utsunomiya University, Japan; Masaaki Ikehara, Keio University, Japan
SPTM-P2.4: CONSTRAINED DESIGN OF ALLPASS TRANSFORMED DFT FILTER-BANKS BY QUADRATIC PROGRAMMING
Heinrich Loellmann, Guido Dartmann, Peter Vary, RWTH Aachen University, Germany
SPTM-P2.5: COMMITTEE ALGORITHM: AN EASY WAY TO CONSTRUCT WAVELET FILTER BANKS
Youngmi Hur, The Johns Hopkins University, United States
SPTM-P2.6: PERFORMANCE INVESTIGATION ON DTCWT BASED ON THE COMMON FACTOR TECHNIQUE
Dai-Wei Wang, Xi Zhang, The University of Electro-Communications, Japan
SPTM-P2.7: UNCERTAINTY PRINCIPLES FOR SIGNALS DEFINED ON GRAPHS: BOUNDS AND CHARACTERIZATIONS
Ameya Agaskar, Yue Lu, Harvard University, United States
SPTM-P2.8: MINIMAX DESIGN OF SPARSE FIR DIGITAL FILTERS
Aimin Jiang, Hohai University, Changzhou Campus, China; Hon Keung Kwan, University of Windsor, Canada; Yanping Zhu, Changzhou University, China; Xiaofeng Liu, Hohai University, Changzhou Campus, China
SPTM-P2.9: MULTI-DIMENSIONAL SEPARABLE CRITICALLY SAMPLED WAVELET FILTERBANKS ON ARBITRARY GRAPHS
Sunil Kumar, Antonio Ortega, University of Southern California, United States
SPTM-P3.1: ON CAPACITY OF MISO BEAMFORMING WITH CODEBOOK BASED SCALAR QUANTIZATION
Bing Hui, Kyung Hi Chang, Inha University, Republic of Korea
SPTM-P3.2: EFFICIENT PARAMETER ESTIMATION OF MULTIPLE DAMPED SINUSOIDS BY COMBINING SUBSPACE AND WEIGHTED LEAST SQUARES TECHNIQUES
Weize Sun, Hing-Cheung So, City University of Hong Kong, Hong Kong SAR of China
SPTM-P3.3: CORRELOGRAM FOR UNDERSAMPLED DATA: BIAS AND VARIANCE ANALYSIS
Mahdi Shaghaghi, Sergiy A. Vorobyov, University of Alberta, Canada
SPTM-P3.4: ROBUST POSITIONING IN NLOS ENVIRONMENTS USING NONPARAMETRIC ADAPTIVE KERNEL DENSITY ESTIMATION
Feng Yin, Technische Universitaet Darmstadt, Germany; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P3.5: ANALYSIS OF THE EDGE-EFFECTS IN FREQUENCY-DOMAIN TDOA ESTIMATION
Arie Yeredor, Tel-Aviv University, Israel
SPTM-P3.6: PERFORMANCE OF THE MAXIMUM LIKELIHOOD ESTIMATORS FOR THE PARAMETERS OF MULTIVARIATE GENERALIZED GAUSSIAN DISTRIBUTIONS
Lionel Bombrun, IMS laboratory, France; Frédéric Pascal, SONDRA Supélec, France; Jean-Yves Tourneret, IRIT/INP-ENSEEIHT, France; Yannick Berthoumieu, IMS laboratory, France
SPTM-P3.7: SPECTRAL DISTRIBUTION OF THE EXPONENTIALLY WINDOWED SAMPLE COVARIANCE MATRIX
Ehsan Yazdian, Mohammad Hassan Bastani, Sharif University of Technology, Iran; Saeed Gazor, Queen's University, Canada
SPTM-P3.8: ACCURATE ESTIMATION OF FREQUENCY OF A SINGLE SINUSOID BASED ON DOWNSAMPLING
Weize Sun, Hing-Cheung So, Yuan Chen, City University of Hong Kong, Hong Kong SAR of China
SPTM-P3.9: OPTIMALLY WEIGHTED MUSIC ALGORITHM FOR FREQUENCY ESTIMATION OF REAL HARMONIC SINUSOIDS
Zhenhua Zhou, Hing-Cheung So, F. K.W. Chan, City University of Hong Kong, Hong Kong SAR of China
SPTM-P3.10: ON THE CRAMER RAO BOUND AND MAXIMUM LIKELIHOOD IN PASSIVE TIME DELAY ESTIMATION FOR COMPLEX SIGNALS
Jean-Pierre Delmas, Yann Meurisse, Telecom SudParis, France
SPTM-P3.11: REPARAMETERIZATION AND CONSTRAINTS FOR CRB: DUALITY AND A MAJOR INEQUALITY FOR SYSTEM ANALYSIS AND DESIGN IN THE ASYMPTOTIC REGION
Tarek Menni, Ecole Normale Supérieure de Cachan, France; Eric Chaumette, ONERA, the French Aerospace Lab, France; Pascal Larzabal, Ecole Normale Supérieure de Cachan, France
SPTM-P3.12: RECENT INSIGHTS IN THE BAYESIAN AND DETERMINISTIC CRB FOR BLIND SIMO CHANNEL ESTIMATION
Samir-Mohamad Omar, Dirk Slock, Eurecom, France; Oussama Bazzi, Lebanese University, Lebanon
SPTM-P4.1: A LOW-COMPLEXITY STRATEGY FOR SPEEDING UP THE CONVERGENCE OF CONVEX COMBINATIONS OF ADAPTIVE FILTERS
Vitor Heloiz Nascimento, University of São Paulo, Brazil; Rodrigo de Lamare, University of York, United Kingdom
SPTM-P4.2: DISTRIBUTED COOPERATIVE SPECTRUM SENSING WITH ADAPTIVE COMBINING
Francisco Ribeiro Jr., Marcello Campos, Federal University of Rio de Janeiro, Brazil; Stefan Werner, Aalto University School of Electrical Engineering, Finland
SPTM-P4.3: MARGINALIZED CONDITIONAL POSTERIOR CRAMER-RAO LOWER BOUND WITH WEIGHTING
Ping Zhang, School of Information Science and Engineering, Southeast University, China
SPTM-P4.4: SCALAR FIELD ESTIMATION USING ADAPTIVE NETWORKS
Yannick P. Bergamo, Cassio G. Lopes, University of São Paulo, Brazil
SPTM-P4.5: FRACTIONAL DELAY COMPENSATION IN DIGITAL PREDISTORTION SYSTEM
Hao Huang, Graduate University of Chinese Academy of Sciences, China; Hua Qian, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences (CAS), China; Hui Xu, Shanghai Research Center for Wireless Communications (WiCO), China; Xiaotao Wang, Graduate University of Chinese Academy of Sciences, China
SPTM-P4.6: INK-SVD: LEARNING INCOHERENT DICTIONARIES FOR SPARSE REPRESENTATIONS
Boris Mailhé, Daniele Barchiesi, Mark D. Plumbley, Queen Mary University of London, United Kingdom
SPTM-P4.7: RANDOM TIME-FREQUENCY SUBDICTIONARY DESIGN FOR SPARSE REPRESENTATIONS WITH GREEDY ALGORITHMS
Manuel Moussallam, Institut Télécom / Télécom ParisTech / CNRS LTCI, France; Laurent Daudet, Institut Langevin - ESPCI ParisTech - UMR7587, France; Gaël Richard, Institut Télécom / Télécom ParisTech / CNRS LTCI, France
SPTM-P4.8: BLIND VOLTERRA SYSTEM LINEARIZATION WITH APPLICATIONS TO POST COMPENSATION OF ADC NONLINEARITIES
Kun Shi, Arthur Redfern, Texas Instruments, Inc., United States
SPTM-P4.9: OPTIMAL POSTERIOR DENSITY APPROXIMATION FOR BEARINGS-ONLY TRACKING
Mark Morelande, The University of Melbourne, Australia; Lennart Svensson, Chalmers University of Technology, Sweden; Jonas Hagmar, Mats Jirstrand, Fraunhofer-Chalmers Centre, Sweden
SPTM-P4.10: REPRESENTATION OF PWM SIGNALS THROUGH TIME WARPING
Salvatore Caporale, Riccardo Rovatti, University of Bologna, Italy; Gianluca Setti, University of Ferrara, Italy
SPTM-P4.11: THE COMPLEX DOUBLE GAUSSIAN DISTRIBUTION
Nicholas O'Donoughue, José M.F. Moura, Carnegie Mellon University, United States
SPTM-P5.1: SPARSE LOADING NOISY PCA USING AN $L_0$ PENALTY
Magnus Ulfarsson, University of Iceland, Iceland; Victor Solo, University of New South Wales, Australia
SPTM-P5.2: A SPARSE RECONSTRUCTION BASED ALGORITHM FOR IMAGE AND VIDEO CLASSIFICATION
Tanaya Guha, Rabab Ward, University of British Columbia, Canada
SPTM-P5.3: DYNAMIC SUBSPACE PURSUIT
Dave Zachariah, Saikat Chatterjee, Magnus Jansson, Royal Institute of Technology, Sweden
SPTM-P5.4: ON COMPRESSED SENSING AND THE ESTIMATION OF CONTINUOUS PARAMETERS FROM NOISY OBSERVATIONS
Jesper Kjær Nielsen, Mads Græsbøll Christensen, Søren Holdt Jensen, Aalborg University, Denmark
SPTM-P5.5: ON VECTOR L0 PENALIZED MULTIVARIATE REGRESSION
Akila J. Seneviratne, Victor Solo, The University of New South Wales, Australia
SPTM-P5.6: PROJECTED $\ELL_1$-MINIMIZATION FOR COMPRESSED SENSING
Amin Khajehnejad, Matthew Thill, Babak Hassibi, California Institute of Technology, United States
SPTM-P5.7: A SIMPLER APPROACH TO WEIGHTED $\ELL_1$ MINIMIZATION
Anilesh K. Krishnaswamy, Indian Institute of Technology, Madras, India; Samet Oymak, Babak Hassibi, California Institute of Technology, United States
SPTM-P5.8: STRUCTURED BAYESIAN ORTHOGONAL MATCHING PURSUIT
Angélique Drémeau, Télécom ParisTech, France; Cedric Herzet, Institut National de Recherche en Informatique et Automatique (INRIA), France; Laurent Daudet, Institut Langevin, ESPCI ParisTech, France
SPTM-P5.9: BAYESIAN DENOISING OF GENERALIZED POISSON PROCESSES WITH FINITE RATE OF INNOVATION
Arash Amini, Ulugbek Kamilov, Michael Unser, Biomedical Imaging Group (BIG) / École Polytechnique Fédérale de Lausanne, Switzerland
SPTM-P5.10: SPARSE COVARIANCE ESTIMATION UNDER KRONECKER PRODUCT STRUCTURE
Theodoros Tsiligkaridis, Alfred O. Hero III, University of Michigan at Ann Arbor, United States
SPTM-P5.11: MMSE DENOISING OF SPARSE LEVY PROCESSES VIA MESSAGE PASSING
Ulugbek Kamilov, Arash Amini, Michael Unser, École Polytechnique Fédérale de Lausanne, Switzerland
SPTM-P5.12: COMPRESSED BEAMFORMING WITH APPLICATIONS TO ULTRASOUND IMAGING
Noam Wagner, Yonina C. Eldar, Arie Feuer, Technion – Israel Institute of Technology, Israel; Zvi Friedman, GE Health-care, Israel
SPTM-P6.1: HARD THRESHOLDING WITH NORM CONSTRAINTS
Anastasios Kyrillidis, Gilles Puy, Volkan Cevher, Swiss Institute of Technology, Switzerland
SPTM-P6.2: OPTIMIZATION-BASED RECOVERY FROM RATE OF INNOVATION SAMPLES
Tomer Michaeli, Yonina C. Eldar, Technion – Israel Institute of Technology, Israel
SPTM-P6.3: ADAPTED STATISTICAL COMPRESSIVE SENSING: LEARNING TO SENSE GAUSSIAN MIXTURE MODELS
Julio M. Duarte-Carvajalino, Guoshen Yu, University of Minnesota, United States; Lawrence Carin, Duke University, United States; Guillermo Sapiro, University of Minnesota, United States
SPTM-P6.4: RESOURCE MINIMIZATION DRIVEN SPECTRUM SENSING POLICY
Jan Oksanen, Jarmo Lundén, Visa Koivunen, Aalto University, Finland
SPTM-P6.5: TWO VARIANTS OF ALTERNATING DIRECTION METHOD OF MULTIPLIERS WITHOUT CERTAIN INNER ITERATIONS AND THEIR APPLICATION TO IMAGE SUPER-RESOLUTION
Masao Yamagishi, Shunsuke Ono, Isao Yamada, Tokyo Institute of Technology, Japan
SPTM-P6.6: ASTRONOMICAL IMAGE DECONVOLUTION USING SPARSE PRIORS : AN ANALYSIS-BY-SYNTHESIS APPROACH
Arwa Dabbech, David Mary, Universite de Nice Sophia Antipolis, France; Chiara Ferrari, Observatoire de la Cote d'Azur, France
SPTM-P6.7: COHERENCE-BASED RECOVERY GUARANTEES FOR GENERALIZED BASIS-PURSUIT DE-QUANTIZING
Graeme Pope, ETH Zürich, Switzerland; Christoph Studer, Rice University, United States; Michel Baes, ETH Zürich, Switzerland
SPTM-P6.8: SAMPLING AND RECONSTRUCTION OF TIME-VARYING ATMOSPHERIC EMISSIONS
Juri Ranieri, Ivan Dokmanic, Amina Chebira, Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland
SPTM-P6.9: COOPERATIVE SENSING WITH TERNARY LOCAL DECISIONS
Dongliang Duan, Liuqing Yang, Colorado State University, United States
SPTM-P6.10: QUANTIZATION REFERENCE VOLTAGE OF THE MODULATED WIDEBAND CONVERTER
Yaming Wang, Laming Chen, Yuantao Gu, Tsinghua University, China
SPTM-P6.11: ON THE BENEFITS OF THE BLOCK-SPARSITY STRUCTURE IN SPARSE SIGNAL RECOVERY
Hwanjoon (Eddy) Kwon, Bhaskar D. Rao, University of California at San Diego, United States
SPTM-P6.12: PARALLEL GPU IMPLEMENTATION OF NULL SPACE BASED ALTERNATING OPTIMIZATION ALGORITHM FOR LARGE-SCALE MATRIX RANK MINIMIZATION
Katsumi Konishi, Kogakuin University, Japan
SPTM-P7.1: TOPOLOGICAL PERSISTENCE ON A JORDAN CURVE
Ying Zheng, Steve Gu, Carlo Tomasi, Duke University, United States
SPTM-P7.2: EXTENSION OF THE HILBERT TRANSFORM
Holger Boche, Ullrich Mönich, Technische Universität München, Germany
SPTM-P7.3: A GENERAL FORM OF 2D FOURIER TRANSFORM EIGENFUNCTIONS
Soo-Chang Pei, Chun-Lin Liu, Graduate Institute of Communication Engineering, National Taiwan University, Taiwan
SPTM-P7.4: THE GENERALIZED FRACTIONAL FOURIER TRANSFORM
Soo-Chang Pei, Chun-Lin Liu, Yun-Chiu Lai, Graduate Institute of Communication Engineering, National Taiwan University, Taiwan
SPTM-P7.5: ROBUST SOURCE NUMBER ENUMERATION FOR R-DIMENSIONAL ARRAYS IN CASE OF BRIEF SENSOR FAILURES
Michael Muma, Technische Universität Darmstadt, Germany; Yao Cheng, Florian Roemer, Martin Haardt, Technische Universität Ilmenau, Germany; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SPTM-P7.6: EXISTENCE AND ESTIMATION OF IMPROPRIETY IN REAL RHYTHMIC SIGNALS
Pascal Clark, University of Washington, United States; Ivars Kirsteins, Naval Undersea Warfare Center, United States; Les Atlas, University of Washington, United States
SPTM-P7.7: CONCENTRATION UNCERTAINTY PRINCIPLES FOR SIGNALS ON THE UNIT SPHERE
Zubair Khalid, Research School of Engineering, The Australian National University, Australia; Salman Durrani, Research School of Engineering,The Australian National University, Australia; Parastoo Sadeghi, Rodney Kennedy, Research School of Engineering, The Australian National University, Australia
SPTM-P7.8: HIGH-RESOLUTION NON-PARAMETRIC SPECTRAL ESTIMATION USING THE HIRSCHMAN OPTIMAL TRANSFORM
Guifeng Liu, Victor DeBrunner, Florida State University, United States
SPTM-P7.9: ON SCALAR AMBIGUITY IN BLIND CHANNEL ESTIMATION FOR OFDM SYSTEMS
Xu Wang, Fudan University, China; Rueywen Liu, University of Notre Dame, United States; Fan He, Tao Yang, Bo Hu, Fudan University, China
SPTM-P7.10: USING SURROGATES AND OPTIMAL TRANSPORT FOR SYNTHESIS OF STATIONARY MULTIVARIATE SERIES WITH PRESCRIBED COVARIANCE FUNCTION AND NON-GAUSSIAN JOINT-DISTRIBUTION
Pierre Borgnat, Patrice Abry, Patrick Flandrin, CNRS, ENS de Lyon, Laboratoire de Physique, France
SPTM-P7.11: IMPROVED SNR EVOLUTION FOR OFDM-IDMA SYSTEMS
Jian Dang, Southeast University, China; Liuqing Yang, Colorado State University, United States; Zaichen Zhang, Southeast University, China
SPTM-P7.12: LINEAR GAUSSIAN COMPUTATIONS FOR NEAR-EXACT BAYESIAN MONTE CARLO INFERENCE IN SKEWED ALPHA-STABLE TIME SERIES MODELS
Tatjana Lemke, Simon J. Godsill, University of Cambridge, United Kingdom
SPTM-P8.1: A PROJECTION APPROACH TO ADAPTIVE IFIR FILTERING
Sander Wahls, Holger Boche, Technische Universität München, Germany
SPTM-P8.2: CYCLIC ADAPTIVE MATCHING PURSUIT
Alexandru Onose, Bogdan Dumitrescu, Tampere University of Technology, Finland
SPTM-P8.3: SINGLE-LINK DIFFUSION STRATEGIES OVER ADAPTIVE NETWORKS
Xiaochuan Zhao, Ali H. Sayed, University of California at Los Angeles, United States
SPTM-P8.4: PERFORMANCE OF DIFFUSION ADAPTATION FOR COLLABORATIVE OPTIMIZATION
Jianshu Chen, Ali H. Sayed, University of California at Los Angeles, United States
SPTM-P8.5: ROBUST SET-THEORETIC DISTRIBUTED DETECTION IN DIFFUSION NETWORKS
Renato L. G. Cavalcante, Slawomir Stanczak, Fraunhofer HHI, Germany
SPTM-P8.6: LOCATION-AIDED DISTRIBUTED PRIMARY USER IDENTIFICATION IN A COGNITIVE RADIO SCENARIO
Pavle Belanovic, Sergio Valcarcel Macua, Santiago Zazo, Universidad Politécnica de Madrid, Spain
SPTM-P8.7: SET-MEMBERSHIP RECURSIVE LEAST-SQUARES ADAPTIVE FILTERING ALGORITHM
Reza Arablouei, Kutluyil Dogançay, University of South Australia, Australia
SPTM-P8.8: A FAMILY OF LEAST-SQUARES MAGNITUDE PHASE ALGORITHMS
Scott Douglas, Southern Methodist University/LGT Corporation, United States; Danilo P. Mandic, Imperial College London, United Kingdom
SPTM-P8.9: ON GRADIENT CALCULATION IN QUATERNION ADAPTIVE FILTERING
Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic, Imperial College London, United Kingdom
SPTM-P8.10: AN ESTIMATOR FOR THE EIGENVALUES OF THE SYSTEM MATRIX OF A PERIODIC-REFERENCE LMS ALGORITHM
Tuomas Haarnoja, Kari Tammi, VTT Technical Research Centre of Finland, Finland; Kai Zenger, Aalto University, Finland
SPTM-P8.11: ADAPTIVE MIXTURE METHODS USING BREGMAN DIVERGENCES
Huseyin Atahan Inan, Mehmet Ali Donmez, Suleyman Serdar Kozat, Koc University, Turkey
SPTM-P8.12: COMBINATION OF ADAPTIVE FILTERS WITH COEFFICIENTS FEEDBACK
Luiz Chamon, Wilder Lopes, Cássio Lopes, University of São Paulo, Brazil
SPTM-P9.1: SAMPLING AND RECONSTRUCTING SPATIAL FIELDS USING MOBILE SENSORS
Jayakrishnan Unnikrishnan, Martin Vetterli, École Polytechnique Fédérale de Lausanne, Switzerland
SPTM-P9.2: FAST CONVERGENCE RECONSTRUCTION FORMULAS FOR PERIODIC NONUNIFORM SAMPLING OF ORDER 2
Marie Chabert, University of Toulouse, France; Bernard Lacaze, TéSA, France
SPTM-P9.3: A SAMPLING THEOREM FOR MANHATTAN GRIDS
Matthew Prelee, David Neuhoff, University of Michigan, United States
SPTM-P9.4: SMOOTHED LP-L2 SOLVERS FOR SIGNAL DENOISING
Jie Yan, Wu-Sheng Lu, University of Victoria, Canada
SPTM-P9.5: RECONSTRUCTION OF THE SEQUENCE OF DIRACS FROM NOISY SAMPLES VIA MAXIMUM LIKELIHOOD ESTIMATION
Akira Hirabayashi, Takuya Iwami, Shuji Maeda, Yosuke Hironaga, Yamaguchi University, Japan
SPTM-P9.6: TIME-STAMPLESS ADAPTIVE NONUNIFORM SAMPLING FOR STOCHASTIC SIGNALS
Soheil Feizi, Vivek Goyal, Muriel Medard, Massachusetts Institute of Technology, United States
SPTM-P9.7: ROBUSTNESS OF ORTHOGONAL MATCHING PURSUIT FOR MULTIPLE MEASUREMENT VECTORS IN NOISY SCENARIO
Jie Ding, Laming Chen, Yuantao Gu, Tsinghua University, China
SPTM-P9.8: DETERMINISTIC PHASE GUARANTEES FOR ROBUST RECOVERY IN INCOHERENT DICTIONARIES
Cheuk Ting Li, The Chinese University of Hong Kong, Hong Kong SAR of China; Samet Oymak, Babak Hassibi, California Institute of Technology, United States
SPTM-P9.9: GAP-FILLING BY THE EMPIRICAL MODE DECOMPOSITION
Azadeh Moghtaderi, Queen's University, Canada; Pierre Borgnat, Patrick Flandrin, Ecole Normale Superieure de Lyon, France
SPTM-P9.10: CONJUGATE GRADIENT ALGORITHM FOR EXTRAPOLATION OF SAMPLED BANDLIMITED SIGNALS ON THE 2-SPHERE
Zubair Khalid, Rodney Kennedy, Salman Durrani, Parastoo Sadeghi, Research School of Engineering, The Australian National University, Australia
SPTM-P9.11: A METHOD TO COMPUTE AVERAGES OVER THE COMPACT STIEFEL MANIFOLD
Tetsuya Kaneko, Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan; Simone Fiori, Università Politecnica delle Marche, Italy
SPTM-P9.12: STEP-EDGE RECONSTRUCTION USING 2D FINITE RATE OF INNOVATION PRINCIPLE
Changsheng Chen, Pina Marziliano, Alex Kot, Nanyang Technological University, Singapore
SPTM-P10.1: OSCILLATION REGULARIZATION
Steve Gu, Ying Zheng, Carlo Tomasi, Duke University, United States
SPTM-P10.2: COMPETITIVE LEAST SQUARES PROBLEM WITH BOUNDED DATA UNCERTAINTIES
Nargiz Kalantarova, Mehmet Ali Donmez, Suleyman Serdar Kozat, Koc University, Turkey
SPTM-P10.3: ON THE USE OF BACKWARD SIMULATION IN THE PARTICLE GIBBS SAMPLER
Fredrik Lindsten, Thomas B. Schön, Linköping University, Sweden
SPTM-P10.4: THE MULTILINEAR COMPOUND GAUSSIAN DISTRIBUTION
Raghu Raj, U.S. Naval Research Laboratory, United States; Alan Bovik, The University of Texas at Austin, United States
SPTM-P10.5: USER RECOMMENDATION WITH TENSOR FACTORIZATION IN SOCIAL NETWORKS
Zhenlei Yan, Jie Zhou, Tsinghua University, China
SPTM-P10.6: TARGET TRACKING WITH ASYNCHRONOUS MEASUREMENTS BY A NETWORK OF DISTRIBUTED MOBILE AGENTS
Jonathan Beaudeau, Monica Bugallo, Petar Djuric, Stony Brook University, United States
SPTM-P10.7: ESTIMATION OF MULTIMODAL POSTERIOR DISTRIBUTIONS OF CHIRP PARAMETERS WITH POPULATION MONTE CARLO SAMPLING
Bingxin Shen, Monica Bugallo, Petar Djuric, Stony Brook University, United States
SPTM-P10.8: EFFECT OF INITIAL PHASE IN TWO TONE SEPARATION USING EMPIRICAL MODE DECOMPOSITION
Jiexin Gao, Dimitrios Hatzinakos, University of Toronto, Canada
SPTM-P10.9: LIKELIHOOD CONSENSUS-BASED DISTRIBUTED PARTICLE FILTERING WITH DISTRIBUTED PROPOSAL DENSITY ADAPTATION
Ondrej Hlinka, Franz Hlawatsch, Vienna University of Technology, Austria; Petar Djuric, Stony Brook University, United States
SPTM-P10.10: SUMMARIZING POSTERIOR DISTRIBUTIONS IN SIGNAL DECOMPOSITION PROBLEMS WHEN THE NUMBER OF COMPONENTS IS UNKNOWN
Alireza Roodaki, Julien Bect, Gilles Fleury, École supérieure d'électricité (SUPELEC), France
SPTM-P10.11: PARTICLE FILTER FOR JOINT ESTIMATION OF MULTI-OBJECT DYNAMIC STATE AND MULTI-SENSOR BIAS
Branko Ristic, Defence Science and Technology Organisation, Australia; Daniel Clark, Heriot-Watt University, United Kingdom
SPTM-P10.12: JOINT DETECTION AND TRACKING USING MULTI-STATIC DOPPLER-SHIFT MEASUREMENTS
Branko Ristic, Defence Science and Technology Organisation, Australia; Alfonso Farina, Selex - Sistemi Integrati, Italy
SPTM-P11.1: LQ MATRIX COMPLETION
Goran Marjanovic, Victor Solo, The University of New South Wales, Australia
SPTM-P11.2: MAKING REASSIGNMENT ADJUSTABLE: THE LEVENBERG-MARQUARDT APPROACH
Francois Auger, LUNAM Universite, France; Eric Chassande-Mottin, Laboratoire AstroParticule et Cosmologie (APC), France; Patrick Flandrin, Laboratoire de Physique de l'Ecole Normale Superieure de Lyon, France
SPTM-P11.3: BLIND ESTIMATION AND LOW-RATE SAMPLING OF SPARSE MIMO SYSTEMS WITH COMMON SUPPORT
Ying Xiong, Yue Lu, Harvard University, United States
SPTM-P11.4: MATRIX PRODUCTS FOR THE SYNTHESIS OF STATIONARY TIME SERIES WITH A PRIORI PRESCRIBED JOINT DISTRIBUTIONS
Florian Angeletti, Eric Bertin, Patrice Abry, Laboratoire de Physique de l'École Normale Supérieure de Lyon, France
SPTM-P11.5: MULTIVARIATE ENTROPY ANALYSIS WITH DATA-DRIVEN SCALES
Mosabber Uddin Ahmed, Naveed Ur Rehman, David Looney, Imperial College London, United Kingdom; Tomasz M. Rutkowski, University of Tsukuba, Japan; Preben Kidmose, Aarhus School of Engineering, Denmark; Danilo P. Mandic, Imperial College London, United Kingdom
SPTM-P11.6: IDENTIFICATION OF BATES STOCHASTIC VOLATILITY MODEL BY USING NON-CENTRAL CHI-SQUARE RANDOM GENERATION METHOD
Shinichi Aihara, Tokyo University of Science, Japan; Arunabha Bagchi, Twente University, Netherlands; Saikat Saha, Linköping University, Sweden
SPTM-P11.7: BRUEGEL'S DRAWINGS UNDER THE MULTIFRACTAL MICROSCOPE
Patrice Abry, ENS Lyon, France; Stephane Jaffard, Paris Est University Creteil, France; Herwig Wendt, IRIT-ENSEEIHT, France
SPTM-P11.8: DETECTION OF TARGET MOLECULES USING SURFACE-BASED BIOSENSOR ARRAYS IN FLUID FLOWS
Maryam Abolfath-Beygi, Vikram Krishnamurthy, University of British Columbia, Canada
SPTM-P11.9: IMPLICIT PRIORS FOR MODEL-BASED INVERSION
Eri Haneda, Charles Bouman, Purdue University, United States
SPTM-P11.10: APPROXIMATING SIGNALS SUPPORTED ON GRAPHS
Xiaofan Zhu, Michael Rabbat, McGill University, Canada
SPTM-P11.11: LOCAL PRINCIPAL COMPONENT PURSUIT FOR NONLINEAR DATASETS
Brendt Wohlberg, Rick Chartrand, James Theiler, Los Alamos National Laboratory, United States
SPTM-P11.12: JOINTLY SPARSE VECTOR RECOVERY VIA REWEIGHTED L1 MINIMIZATION
Mu-Hsin Wei, Waymond Scott, James McClellan, Georgia Institute of Technology, United States
SPTM-P12.1: HARMONIC SPACE-TIME THREAT PROPAGATION FOR GRAPH DETECTION
Steven Smith, Scott Philips, MIT Lincoln Laboratory, United States; Edward Kao, Harvard University, United States
SPTM-P12.2: DATA-EFFICIENT MINIMAX QUICKEST CHANGE DETECTION
Taposh Banerjee, Venugopal V. Veeravalli, University of Illinois, United States
SPTM-P12.3: TRACK-BEFORE-DETECT WITH CENSORED OBSERVATIONS
Emanuele Grossi, Marco Lops, Luca Venturino, Universita' degli Studi di Cassino, Italy
SPTM-P12.4: THE BAHADUR EFFICIENCY FOR ENERGY DETECTION OF STATIONARY GAUSSIAN PROCESSES
Yuni Lee, Youngchul Sung, Korea Advanced Institute of Science and Technology, Republic of Korea
SPTM-P12.5: A NEW APPROACH FOR SEMIPARAMETRIC DETECTION
Asmaa Amehraye, ESIGETEL, France; Lionel Fillatre, Université de technologie de Troyes, France
SPTM-P12.6: EXPLOITING RAUCH-TUNG-STRIEBEL FORMULAE FOR IMM-BASED SMOOTHING OF MARKOVIAN SWITCHING SYSTEMS
Rémy Lopez, Collecte Localisation Satellites, LAAS-CNRS, France; Patrick Danès, LAAS-CNRS, France
SPTM-P12.7: REFINEMENT IN THE ESTIMATION OF MULTICOMPONENT POLYNOMIAL-PHASE SIGNALS
Slobodan Djukanovic, Marko Simeunovic, Igor Djurovic, University of Montenegro, Yugoslavia
SPTM-P12.8: MOMENTS OF PARAMETER ESTIMATES FOR CHUNG-LU RANDOM GRAPH MODELS
Nicholas Arcolano, Karl Ni, Benjamin A. Miller, Nadya T. Bliss, MIT Lincoln Laboratory, United States; Patrick J. Wolfe, Harvard University, United States
SPTM-P12.9: OPTIMAL ESTIMATION OF HYBRID MODELS IN STATE-SPACE WITH FIR STRUCTURES
Yuriy Shmaliy, Oscar Ibarra-Manzano, Guanajuato University, Mexico
SPTM-P12.10: DETECTION AND ESTIMATION OF HIDDEN PERIODICITY IN ASYMMETRIC NOISE BY USING QUANTILE PERIODOGRAM
Ta-Hsin Li, IBM, United States
SPTM-P12.11: A NEW AUTOMATIC METHOD FOR SEISMIC SIGNALS SEGMENTATION
Erion-Vasilis Pikoulis, Emmanouil Psarakis, University of Patras, Greece
SPTM-P12.12: STATISTICAL CLASSIFICATION OF SOCIAL NETWORKS
Tian Wang, Hamid Krim, North Carolina State University, United States
SP-L1.1: LEARNING AND ADAPTATION OF A TONGUE SHAPE MODEL WITH MISSING DATA
Mohsen Farhadloo, Miguel A. Carreira-Perpinan, University of California at Merced, United States
SP-L1.2: THE GLOTTALTOPOGRAPH: A METHOD OF ANALYZING HIGH-SPEED IMAGES OF THE VOCAL FOLDS
Gang Chen, Jody Kreiman, Abeer Alwan, University of California at Los Angeles, United States
SP-L1.3: AUTOMATIC HEIGHT ESTIMATION USING THE SECOND SUBGLOTTAL RESONANCE
Harish Arsikere, Gary K. F. Leung, University of California at Los Angeles, United States; Steven M. Lulich, Washington University in St. Louis, United States; Abeer Alwan, University of California at Los Angeles, United States
SP-L1.4: TRANSIENT-BASED SPEECH TRANSMISSION INDEX FOR PREDICTING INTELLIGIBILITY IN NONLINEAR SPEECH ENHANCEMENT PROCESSORS
Anton Schlesinger, Ruhr-Universität Bochum, Germany
SP-L1.5: CEPSTRAL ANALYSIS BASED ON THE GLIMPSE PROPORTION MEASURE FOR IMPROVING THE INTELLIGIBILITY OF HMM-BASED SYNTHETIC SPEECH IN NOISE
Cassia Valentini-Botinhao, University of Edinburgh, United Kingdom; Ranniery Maia, Toshiba Research Europe Limited, United Kingdom; Junichi Yamagishi, Simon King, University of Edinburgh, United Kingdom; Heiga Zen, Toshiba Research Europe Limited, United Kingdom
SP-L1.6: SPECTRO-TEMPORAL SUBBAND WIENER FILTER FOR SPEECH ENHANCEMENT
Chung-Chien Hsu, Tse-En Lin, National Chiao Tung University, Taiwan; Jian-Hueng Chen, Chunghwa Telecom, Taiwan; Tai-Shih Chi, National Chiao Tung University, Taiwan
SP-L2.1: ARTICULATORY FEATURES FOR EXPRESSIVE SPEECH SYNTHESIS
Alan Black, Carnegie Mellon University, United States; H Timothy Bunnell, Nemours Biomedical Research, United States; Ying Dou, The Johns Hopkins University, United States; Prasanna Kumar, Florian Metze, Carnegie Mellon University, United States; Daniel Perry, University of California at Los Angeles, United States; Tim Polzehl, Technische Universität Berlin, Germany; Kishore Prahallad, IIIT Hyderabad, India; Stefan Steidl, ICSI, United States; Callie Vaughn, Oberlin College, United States
SP-L2.2: UNSUPERVISED CLUSTERING OF EMOTION AND VOICE STYLES FOR EXPRESSIVE TTS
Florian Eyben, Sabine Buchholz, Norbert Braunschweiler, Javier Latorre, Vincent Wan, Mark J.F. Gales, Kate Knill, Toshiba Research Europe Limited, United Kingdom
SP-L2.3: DATA-DRIVEN PHRASING FOR SPEECH SYNTHESIS IN LOW-RESOURCE LANGUAGES
Alok Parlikar, Alan Black, Carnegie Mellon University, United States
SP-L2.4: MODELING PITCH TRAJECTORY BY HIERARCHICAL HMM WITH MINIMUM GENERATION ERROR TRAINING
Yi-Jian Wu, Frank Soong, Microsoft Research Asia, China
SP-L2.5: AUTOREGRESSIVE HMM SPEECH SYNTHESIS
Carl Quillen, MIT Lincoln Laboratory, United States
SP-L2.6: ON MEASURING THE INTELLIGIBILITY OF SYNTHETIC SPEECH IN NOISE --- DO WE NEED A REALISTIC NOISE ENVIRONMENT?
Tuomo Raitio, Marko Takanen, Olli Santala, Aalto University, Finland; Antti Suni, Martti Vainio, University of Helsinki, Finland; Paavo Alku, Aalto University, Finland
SP-L3.1: LOGMAX OBSERVATION MODEL WITH MFCC-BASED SPECTRAL PRIOR FOR REDUCTION OF HIGHLY NONSTATIONARY AMBIENT NOISE
Tomohiro Nakatani, Takuya Yoshioka, Shoko Araki, Marc Delcroix, Masakiyo Fujimoto, NTT Corporation, Japan
SP-L3.2: MMSE SPEECH ENHANCEMENT UNDER SPEECH PRESENCE UNCERTAINTY ASSUMING (GENERALIZED) GAMMA SPEECH PRIORS THROUGHOUT
Balázs Fodor, Tim Fingscheidt, Technische Universität Braunschweig, Germany
SP-L3.3: DISTRIBUTED DELAY AND SUM BEAMFORMER FOR SPEECH ENHANCEMENT IN WIRELESS SENSOR NETWORKS VIA RANDOMIZED GOSSIP
Yuan Zeng, Richard C. Hendriks, Delft University of Technology, Netherlands
SP-L3.4: IMPROVED NOISE POWER SPECTRAL DENSITY TRACKING BY A MAP-BASED POSTPROCESSOR
Aleksej Chinaev, Alexander Krueger, Dang Hai Tran Vu, Reinhold Haeb-Umbach, University of Paderborn, Germany
SP-L3.5: INDIRECT MODEL-BASED SPEECH ENHANCEMENT
Jonathan Le Roux, John Hershey, MERL, United States
SP-L3.6: SPEECH KURTOSIS ESTIMATION FROM OBSERVED NOISY SIGNAL BASED ON GENERALIZED GAUSSIAN DISTRIBUTION PRIOR AND ADDITIVITY OF CUMULANTS
Ryo Wakisaka, Hiroshi Saruwatari, Kiyohiro Shikano, Nara Institute of Science and Technology, Japan; Tomoya Takatani, Toyota Motor Corporation, Japan
SP-L4.1: A DEREVERBERATION ALGORITHM FOR SPHERICAL MICROPHONE ARRAYS USING COMPRESSED SENSING TECHNIQUES
Ping Kun Tony Wu, Nicolas Epain, Craig Jin, University of Sydney, Australia
SP-L4.2: MULTICHANNEL SPEECH DEREVERBERATION AND SEPARATION WITH OPTIMIZED COMBINATION OF LINEAR AND NON-LINEAR FILTERING
Masahito Togami, Yohei Kawaguchi, Ryu Takeda, Yasunari Obuchi, Nobuo Nukaga, Hitachi, Ltd., Japan
SP-L4.3: A SPEECH PREPROCESSING STRATEGY FOR INTELLIGIBILITY IMPROVEMENT IN NOISE BASED ON A PERCEPTUAL DISTORTION MEASURE
Cees Taal, Richard C. Hendriks, Richard Heusdens, Delft University of Technology, Netherlands
SP-L4.4: THE LINEAR PREDICTION INVERSE MODULATION TRANSFER FUNCTION (LP-IMTF) FILTER FOR SPECTRAL ENHANCEMENT, WITH APPLICATIONS TO SPEAKER RECOGNITION
Bengt Borgstrom, Alan McCree, MIT Lincoln Laboratory, United States
SP-L4.5: CONVERSATIONAL EVALUATION OF ARTIFICIAL BANDWIDTH EXTENSION OF TELEPHONE SPEECH USING A MOBILE HANDSET
Hannu Pulakka, Aalto University, Finland; Laura Laaksonen, Ville Myllylä, Nokia Smart Devices, Finland; Santeri Yrttiaho, Paavo Alku, Aalto University, Finland
SP-L4.6: AN INFORMATION THEORETIC VIEW ON ARTIFICIAL BANDWIDTH EXTENSION IN NOISY ENVIRONMENTS
Thomas Esch, Peter Vary, RWTH Aachen University, Germany
SP-L5.1: A STUDY OF DISCRIMINATIVE FEATURE EXTRACTION FOR I-VECTOR BASED ACOUSTIC SNIFFING IN IVN ACOUSTIC MODEL TRAINING
Yu Zhang, Shanghai Jiao Tong University, China; Jian Xu, University of Science and Technology of China, China; Zhi-Jie Yan, Qiang Huo, Microsoft Research Asia, China
SP-L5.2: COMPARISON AND COMBINATION OF DIFFERENT CRBE BASED MLP FEATURES FOR LVCSR
Zoltán Tüske, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-L5.3: REVISITING RECURRENT NEURAL NETWORKS FOR ROBUST ASR
Oriol Vinyals, Suman Ravuri, University of California at Berkeley, United States; Daniel Povey, Microsoft Research, United States
SP-L5.4: A COMPARATIVE STUDY OF DISCRIMINATIVE TRAINING USING NON-UNIFORM CRITERIA FOR CROSS-LAYER ACOUSTIC MODELING
Chao Weng, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States
SP-L5.5: TOWARDS SINGLE PASS DISCRIMINATIVE TRAINING FOR SPEECH RECOGNITION
Roger Hsiao, Tanja Schultz, Carnegie Mellon University, United States
SP-L5.6: DERIVATION OF EIGENTRIPHONES BY WEIGHTED PRINCIPAL COMPONENT ANALYSIS
Tom Ko, Brian Mak, The Hong Kong University of Science and Technology, Hong Kong SAR of China
SP-L6.1: POWER-NORMALIZED CEPSTRAL COEFFICIENTS (PNCC) FOR ROBUST SPEECH RECOGNITION
Chanwoo Kim, Microsoft Corporation, United States; Richard Stern, Carnegie Mellon University, United States
SP-L6.2: A NOVEL APPROACH TO SOFT-MASK ESTIMATION AND LOG-SPECTRAL ENHANCEMENT FOR ROBUST SPEECH RECOGNITION
Julien Van Hout, Abeer Alwan, University of California at Los Angeles, United States
SP-L6.3: MFCC ENHANCEMENT USING JOINT CORRUPTED AND NOISE FEATURE SPACE FOR HIGHLY NON-STATIONARY NOISE ENVIRONMENTS
Masayuki Suzuki, The University of Tokyo, Japan; Takuya Yoshioka, Shinji Watanabe, NTT Communication Science Laboratories, Japan; Nobuaki Minematsu, Keikichi Hirose, The University of Tokyo, Japan
SP-L6.4: MODELLING SPECTRO-TEMPORAL DYNAMICS IN FACTORISATION-BASED NOISE-ROBUST AUTOMATIC SPEECH RECOGNITION
Antti Hurmalainen, Tuomas Virtanen, Tampere University of Technology, Finland
SP-L6.5: NORMALIZED AMPLITUDE MODULATION FEATURES FOR LARGE VOCABULARY NOISE-ROBUST SPEECH RECOGNITION
Vikramjit Mitra, Horacio Franco, Martin Graciarena, Arindam Mandal, SRI International, United States
SP-L6.6: FEATURE COMPENSATION EMPLOYING ONLINE GMM ADAPTATION FOR SPEECH RECOGNITION IN UNKNOWN SEVERELY ADVERSE ENVIRONMENTS
Wooil Kim, John H. L. Hansen, The University of Texas at Dallas, United States
SP-L7.1: LATENT PERCEPTUAL MAPPING WITH DATA-DRIVEN VARIABLE-LENGTH ACOUSTIC UNITS FOR TEMPLATE-BASED SPEECH RECOGNITION
Shiva Sundaram, Deutsche Telekom Laboratories, Germany; Jerome Bellegarda, Apple Inc., United States
SP-L7.2: DISTRIBUTED ACOUSTIC MODELING WITH BACK-OFF N-GRAMS
Ciprian Chelba, Peng Xu, Fernando Pereira, Google, Inc., United States; Thomas Richardson, University of Washington, United States
SP-L7.3: N-BEST ENTROPY BASED DATA SELECTION FOR ACOUSTIC MODELING
Nobuyasu Itoh, IBM Research - Tokyo, Japan; Tara N. Sainath, IBM T.J. Watson Research Center, United States; Dan Ning Jiang, Jie Zhou, IBM Research - China, China; Bhuvana Ramabhadran, IBM T.J. Watson Research Center, United States
SP-L7.4: ANALYZING QUALITY OF CROWD-SOURCED SPEECH TRANSCRIPTIONS OF NOISY AUDIO FOR ACOUSTIC MODEL ADAPTATION
Kartik Audhkhasi, Panayiotis Georgiou, Shrikanth Narayanan, University of Southern California, United States
SP-L7.5: CONSTRUCTING ENSEMBLES OF DISSIMILAR ACOUSTIC MODELS USING HIDDEN ATTRIBUTES OF TRAINING DATA
Takashi Fukuda, Ryuki Tachibana, IBM Research - Tokyo, Japan; Upendra Chaudhari, Bhuvana Ramabhadran, IBM T.J. Watson Research Center, United States; Puming Zhan, Nuance Communications Inc., United States
SP-L7.6: KNOWLEDGE-BASED QUADRATIC DISCRIMINANT ANALYSIS FOR PHONETIC CLASSIFICATION
Heyun Huang, Radboud University Nijmegen, Netherlands; Yang Liu, Yale University, United States; Louis Ten Bosch, Bert Cranen, Lou Boves, Radboud University Nijmegen, Netherlands
SP-L8.1: INFERENCE ALGORITHMS FOR GENERATIVE SCORE-SPACES
Anton Ragni, Mark Gales, University of Cambridge, United Kingdom
SP-L8.2: AUTO-ENCODER BOTTLENECK FEATURES USING DEEP BELIEF NETWORKS
Tara Sainath, Brian Kingsbury, Bhuvana Ramabhadran, IBM T.J. Watson Research Center, United States
SP-L8.3: ANALYZING THE MEMORY OF BLSTM NEURAL NETWORKS FOR ENHANCED EMOTION CLASSIFICATION IN DYADIC SPOKEN INTERACTIONS
Martin Woellmer, Technische Universitaet Muenchen, Germany; Angeliki Metallinou, Nassos Katsamanis, University of Southern California, United States; Björn Schuller, Technische Universität München, Germany; Shrikanth Narayanan, University of Southern California, United States
SP-L8.4: CLASSIFICATION AND RECOGNITION WITH DIRECT SEGMENT MODELS
Geoffrey Zweig, Microsoft Research, United States
SP-L8.5: IMPROVED PRE-TRAINING OF DEEP BELIEF NETWORKS USING SPARSE ENCODING SYMMETRIC MACHINES
Christian Plahl, RWTH Aachen University, Germany; Tara Sainath, Bhuvana Ramabhadran, David Nahamoo, International Business Machines Corporation, United States
SP-L8.6: BOOSTING ATTRIBUTE AND PHONE ESTIMATION ACCURACIES WITH DEEP NEURAL NETWORKS FOR DETECTION-BASED SPEECH RECOGNITION
Dong Yu, Microsoft Research, United States; Sabato Siniscalchi, Kore University of Enna, Italy; Li Deng, Microsoft Research, United States; Chin-Hui Lee, Georgia Institute of Technology, United States
SP-L9.1: SPEAKER DIARIZATION OF MEETINGS BASED ON LARGE TDOA FEATURE VECTORS
Deepu Vijayasenan, Saarland University, Germany; Fabio Valente, IDIAP Research Institute, Switzerland
SP-L9.2: ON THE EFFECT OF SNR AND SUPERDIRECTIVE BEAMFORMING IN SPEAKER DIARISATION IN MEETINGS
Erich Zwyssig, EADS IW, United Kingdom; Steve Renals, Mike Lincoln, The University of Edinburgh, United Kingdom
SP-L9.3: SPEECH OVERLAP DETECTION AND ATTRIBUTION USING CONVOLUTIVE NON-NEGATIVE SPARSE CODING
Ravichander Vipperla, Eurecom, France; Jürgen Geiger, Institute for Human-Machine Communication, Germany; Simon Bozonnet, Dong Wang, Nicholas Evans, Eurecom, France; Björn Schuller, Gerhard Rigoll, Institute for Human-Machine Communication, Germany
SP-L9.4: SPEAKER ATTRIBUTION OF MULTIPLE TELEPHONE CONVERSATIONS USING A COMPLETE-LINKAGE CLUSTERING APPROACH
Houman Ghaemmaghami, David Dean, Robbie Vogt, Sridha Sridharan, Queensland University of Technology, Australia
SP-L9.5: LOW-LATENCY SPEAKER DIARIZATION BASED ON BAYESIAN INFORMATION CRITERION WITH MULTIPLE PHONEME CLASSES
Takahiro Oku, Shoei Sato, Akio Kobayashi, Shinichi Homma, Toru Imai, NHK, Japan
SP-L9.6: SPEAKER DIARIZATION OF BROADCAST STREAMS USING TWO-STAGE CLUSTERING BASED ON I-VECTORS AND COSINE DISTANCE SCORING
Jan Silovsky, Jan Prazak, Technical University of Liberec, Czech Republic
SP-L10.1: DECODING NETWORK OPTIMIZATION USING MINIMUM TRANSITION ERROR TRAINING
Yotaro Kubo, Shinji Watanabe, Atsushi Nakamura, NTT Corporation, Japan
SP-L10.2: BAG OF ARCS: NEW REPRESENTATION OF SPEECH SEGMENT FEATURES BASED ON FINITE STATE MACHINES
Shinji Watanabe, Yotaro Kubo, Takanobu Oba, Takaaki Hori, Atsushi Nakamura, NTT Corporation, United States
SP-L10.3: SILENCE IS GOLDEN: MODELING NON-SPEECH EVENTS IN WFST-BASED DYNAMIC NETWORK DECODERS
David Rybach, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-L10.4: A COMPARISON OF DYNAMIC WFST DECODING APPROACHES
Paul Dixon, Chiori Hori, Hideki Kashioka, National Institute of Information and Communications Technology, Japan
SP-L10.5: GENERATING EXACT LATTICES IN THE WFST FRAMEWORK
Daniel Povey, Mirko Hannemann, Microsoft Corporation, United States; Gilles Boulianne, CRIM, Canada; Lukáš Burget, SRI International, United States; Arnab Ghoshal, Edinburgh University, United Kingdom; Miloš Janda, Martin Karafiat, Stefan Kombrink, Brno University of Technology, Czech Republic; Petr Motlicek, IDIAP Research Institute, Switzerland; Yanmin Qian, Tsinghua University, China; Korbinian Riedhammer, University Erlangen-Nuremberg, Germany; Karel Vesely, Brno University of Technology, Czech Republic; Ngoc Thang Vu, Karlsruhe Institute of Technology, Germany
SP-L10.6: A GENERAL DISCRIMINATIVE TRAINING ALGORITHM FOR SPEECH RECOGNITION USING WEIGHTED FINITE-STATE TRANSDUCERS
Yong Zhao, Georgia Institute of Technology, United States; Andrej Ljolje, Diamantino Caseiro, AT&T Labs-Research, United States; Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States
SP-P1.1: FACTOR ANALYSIS OF LAPLACIAN APPROACH FOR SPEAKER RECOGNITION
Jinchao Yang, Chunyan Liang, Lin Yang, Hongbin Suo, Junjie Wang, Yonghong Yan, Chinese Academy of Sciences, China
SP-P1.2: BLIND REVERBERATION MITIGATION FOR ROBUST SPEAKER IDENTIFICATION
Seyed Omid Sadjadi, John H. L. Hansen, The University of Texas at Dallas, United States
SP-P1.3: THE UMD-JHU 2011 SPEAKER RECOGNITION SYSTEM
Daniel Garcia-Romero, Xinhui Zhou, Dmitry Zotkin, Balaji Srinivasan, Yuancheng Luo, University of Maryland, United States; Sriram Ganapathy, Samuel Thomas, Sridhar Krishna Nemala, Gsvs Sivaram, The Johns Hopkins University, United States; Majid Mirbagheri, University of Maryland, United States; Sri Harish Mallidi, Thomas Janu, Padmanabhan Rajan, The Johns Hopkins University, United States; Nima Mesgarani, University of Maryland / The Johns Hopkins University, United States; Mounya Elhilali, Hynek Hermansky, The Johns Hopkins University, United States; Shihab Shamma, Ramani Duraiswami, University of Maryland, United States
SP-P1.4: ROBUST FEATURE FRONT-END FOR SPEAKER IDENTIFICATION
Gang Liu, Yun Lei, John H. L. Hansen, The University of Texas at Dallas, United States
SP-P1.5: FAMILIAR SPEAKER RECOGNITION
Stanley Wenndt, Air Force Research Laboratory, United States; Ronald Mitchell, Clarkson University, United States
SP-P1.6: SPECTRO-TEMPORAL GABOR FEATURES FOR SPEAKER RECOGNITION
Howard Lei, Bernd T. Meyer, Nikki Mirghafori, International Computer Science Institute, United States
SP-P1.7: MACHINE RECOGNITION VS HUMAN RECOGNITION OF VOICES
Stanley Wenndt, Air Force Research Laboratory, United States; Ronald Mitchell, Clarkson University, United States
SP-P1.8: THE EFFECT OF NOISE ON MODERN AUTOMATIC SPEAKER RECOGNITION SYSTEMS
Miranti Indar Mandasari, Mitchell McLaren, David A. van Leeuwen, Radboud University Nijmegen, Netherlands
SP-P1.9: TOWARDS NOISE-ROBUST SPEAKER RECOGNITION USING PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS
Yun Lei, Lukáš Burget, Luciana Ferrer, Martin Graciarena, Nicolas Scheffer, SRI International, United States
SP-P1.10: MULTICONDITION TRAINING OF GAUSSIAN PLDA MODELS IN I-VECTOR SPACE FOR NOISE AND REVERBERATION ROBUST SPEAKER RECOGNITION
Daniel Garcia-Romero, Xinhui Zhou, Carol Y. Espy-Wilson, University of Maryland Baltimore County, United States
SP-P1.11: EFFICIENT SPEAKER SEARCH OVER LARGE POPULATIONS USING KERNELIZED LOCALITY-SENSITIVE HASHING
Woojay Jeon, Samsung Electronics, Republic of Korea; Yan-Ming Cheng, Motorola Solutions, United States
SP-P2.1: SEQUENTIAL DEEP BELIEF NETWORKS
Galen Andrew, Jeff Bilmes, University of Washington, United States
SP-P2.2: MULTILINGUAL MLP FEATURES FOR LOW-RESOURCE LVCSR SYSTEMS
Samuel Thomas, Sriram Ganapathy, Hynek Hermansky, The Johns Hopkins University, United States
SP-P2.3: UNDERSTANDING HOW DEEP BELIEF NETWORKS PERFORM ACOUSTIC MODELLING
Abdel-Rahman Mohamed, Geoffrey Hinton, Gerald Penn, University of Toronto, Canada
SP-P2.4: APPLYING CONVOLUTIONAL NEURAL NETWORKS CONCEPTS TO HYBRID NN-HMM MODEL FOR SPEECH RECOGNITION
Ossama Abdel-Hamid, York University, Canada; Abdel-Rahman Mohamed, University of Toronto, Canada; Hui Jiang, York University, Canada; Gerald Penn, University of Toronto, Canada
SP-P2.5: A FAST COMPRESSIVE SENSING APPROACH FOR PHONEME CLASSIFICATION
Armin Saeb, Islamic Azad University, Shahr-e-Rey Branch, Iran; Farbod Razzazi, Islamic Azad University, Science and Research Branch, Iran
SP-P2.6: CLASSIFICATION MARGIN FOR IMPROVED CLASS-BASED SPEECH RECOGNITION PERFORMANCE
Denis Jouvet, Nicolas Vinuesa, INRIA - LORIA, France
SP-P2.7: UNSEEN NOISE ROBUST SPEECH RECOGNITION USING ADAPTIVE PIECEWISE LINEAR TRANSFORMATION
Keigo Chijiiwa, Masayuki Suzuki, Nobuaki Minematsu, Keikichi Hirose, The University of Tokyo, Japan
SP-P2.8: A TANDEM CONNECTIONIST MODEL USING COMBINATION OF MULTI-SCALE SPECTRO-TEMPORAL FEATURES FOR ACOUSTIC EVENT DETECTION
Miquel Espi, The University of Tokyo, Japan; Masakiyo Fujimoto, NTT Corporation, Japan; Daisuke Saito, The University of Tokyo, Japan; Nobutaka Ono, National Institute of Informatics, Japan; Shigeki Sagayama, The University of Tokyo, Japan
SP-P2.9: FACTORIAL HIDDEN RESTRICTED BOLTZMANN MACHINES FOR NOISE ROBUST SPEECH RECOGNITION
Steven Rennie, Petr Fousek, Pierre Dognin, IBM, United States
SP-P2.10: STRANDED GAUSSIAN MIXTURE HIDDEN MARKOV MODELS FOR ROBUST SPEECH RECOGNITION
Yong Zhao, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States
SP-P2.11: LASSO ENVIRONMENT MODEL COMBINATION FOR ROBUST SPEECH RECOGNITION
Xiong Xiao, Nanyang Technological University, Singapore; Jinyu Li, Microsoft Corporation, United States; Eng-Siong Chng, Nanyang Technological University, Singapore; Haizhou Li, Institute for Infocomm Research, Singapore
SP-P2.12: EASY DOES IT: ROBUST SPECTRO-TEMPORAL MANY-STREAM ASR WITHOUT FINE TUNING STREAMS
Suman Ravuri, Nelson Morgan, ICSI/University of California at Berkeley, United States
SP-P3.1: EVALUATION OF MULTI-LEVEL CONTEXT-DEPENDENT ACOUSTIC MODEL FOR LARGE VOCABULARY SPEAKER ADAPTATION TASKS
Hung-An Chang, James Glass, Massachusetts Institute of Technology, United States
SP-P3.2: AFFINE INVARIANT SPARSE MAXIMUM A POSTERIORI ADAPTATION
Peder Olsen, Jing Huang, Steven Rennie, Vaibhava Goel, IBM T.J. Watson Research Center, United States
SP-P3.3: APPLICATIONS OF DIRICHLET PROCESS MIXTURES TO SPEAKER ADAPTATION
Amir Hossein Harati Nejad Torbati, Joe Picone, Marc Sobel, Temple University, United States
SP-P3.4: JOINT SPECTRAL AND TEMPORAL NORMALIZATION OF FEATURES FOR ROBUST RECOGNITION OF NOISY AND REVERBERATED SPEECH
Xiong Xiao, Eng-Siong Chng, Nanyang Technological University, Singapore; Haizhou Li, Institute for Infocomm Research, Singapore
SP-P3.5: A LINEAR PROJECTION APPROACH TO ENVIRONMENT MODELING FOR ROBUST SPEECH RECOGNITION
Yu Tsao, Academia Sinica, Taiwan; Chien-Lin Huang, Shigeki Matsuda, Chiori Hori, Hideki Kashioka, National Institute of Information and Communications Technology, Japan
SP-P3.6: ROBUST SPEECH RECOGNITION THROUGH SELECTION OF SPEAKER AND ENVIRONMENT TRANSFORMS
Raghavendra Bilgi, Vikas Joshi, Umesh Srinivasan, Indian Institute of Technology, Madras, India; Luz Garcia Martinez, Carmen Benítez Ortúzar, Universidad de Granada, Spain
SP-P3.7: A HIGHLY NON-STATIONARY NOISE TRACKING AND COMPENSATION ALGORITHM, WITH APPLICATIONS TO SPEECH ENHANCEMENT AND ON-LINE ASR
Md Foezur Rahman Chowdhury, INRS-EMT, University of Quebec, Canada; Sid-Ahmed Selouani, Université de Moncton - campus de Shippagan, Canada; Douglas O'Shaughnessy, INRS-EMT, University of Quebec, Canada
SP-P3.8: APPLICATION OF SVM-BASED CORRECTNESS PREDICTIONS TO UNSUPERVISED DISCRIMINATIVE SPEAKER ADAPTATION
Matthew Gibson, Thomas Hain, Sheffield University, United Kingdom
SP-P3.9: MODELING GENDER DEPENDENCY IN THE SUBSPACE GMM FRAMEWORK
Ngoc Thang Vu, Karlsruhe Institute of Technology, United States; Daniel Povey, Microsoft Research, USA, United States; Tanja Schultz, Karlsruhe Institute of Technology, Germany
SP-P3.10: LATENT VARIABLE SPEAKER ADAPTATION OF GAUSSIAN MIXTURE WEIGHTS AND MEANS
Xueru Zhang, Kris Demuynck, Hugo Van hamme, Katholieke Universiteit Leuven, Belgium
SP-P3.11: MODEL DIMENSIONALITY SELECTION IN BILINEAR TRANSFORMATION FOR FEATURE SPACE MLLR RAPID SPEAKER ADAPTATION
Shilei Zhang, Yong Qin, IBM China Research Lab, China
SP-P4.1: COMPUTATIONALLY EFFICIENT SPEAKER IDENTIFICATION USING FAST-MLLR BASED ANCHOR MODELING
A K Sarkar, Université d'Avignon, France; S. Umesh, Indian Institute of Technology, Madras, India; Jean-François Bonastre, Université d'Avignon, France
SP-P4.2: GENDER INDEPENDENT DISCRIMINATIVE SPEAKER RECOGNITION IN I-VECTOR SPACE
Sandro Cumani, Politecnico di Torino, Italy; Ondrej Glembek, Brno University of Technology, Czech Republic; Niko Brummer, Edward de Villiers, AGNITIO, South Africa; Pietro Laface, Politecnico di Torino, Italy
SP-P4.3: INDEPENDENT COMPONENT ANALYSIS AND MLLR TRANSFORMS FOR SPEAKER IDENTIFICATION
Sandro Cumani, Politecnico di Torino, Italy; Oldrich Plchot, Martin Karafiat, Brno University of Technology, Czech Republic
SP-P4.4: SINGLE-CHANNEL SPEAKER-PAIR IDENTIFICATION: A NEW APPROACH BASED ON AUTOMATIC FRAME SELECTION
Ramji Srinivasan, Ji Ming, Danny Crookes, Queen's University Belfast, United Kingdom
SP-P4.5: GENDER-INDEPENDENT SPEAKER RECOGNITION USING SOURCE NORMALISATION
Mitchell McLaren, David A. van Leeuwen, Radboud University Nijmegen, Netherlands
SP-P4.6: COMBINING TRANSCRIPTION-BASED AND ACOUSTIC-BASED SPEAKER IDENTIFICATIONS FOR BROADCAST NEWS
Elie El Khoury, IDIAP Research Institute, Switzerland; Antoine Laurent, Sylvain Meignier, Simon Petitrenaud, Université du Maine, France
SP-P4.7: SPEAKER RECOGNITION VIA SPARSE REPRESENTATIONS USING ORTHOGONAL MATCHING PURSUIT
Vivek Boominathan, Sri Rama Murty K, Indian Institute of Technology, Hyderabad, India
SP-P4.8: MLLR TRANSFORMS OF SELF-ORGANIZED UNITS AS FEATURES IN SPEAKER RECOGNITION
Man-Hung Siu, Omer Lang, Herbert Gish, Stephen Lowe, Arthur Chan, Owen Kimball, Raytheon BBN Technologies, United States
SP-P4.9: A LINGUISTICALLY-MOTIVATED SPEAKER RECOGNITION FRONT-END THROUGH SESSION VARIABILITY COMPENSATED CEPSTRAL TRAJECTORIES IN PHONE UNITS
Joaquin Gonzalez-Rodriguez, Javier Gonzalez-Dominguez, Javier Franco-Pedroso, Daniel Ramos, ATVS - Universidad Autonoma de Madrid, Spain
SP-P4.10: MULTILEVEL SPEECH INTELLIGIBILITY FOR ROBUST SPEAKER RECOGNITION
Sridhar Krishna Nemala, Mounya Elhilali, The Johns Hopkins University, United States
SP-P4.11: SPEAKER RECOGNITION WITH REGION-CONSTRAINED MLLR TRANSFORMS
Andreas Stolcke, Microsoft Speech Labs, United States; Arindam Mandal, SRI International, United States; Elizabeth Shriberg, Microsoft Speech Labs, United States
SP-P4.12: VULNERABILITY OF SPEAKER VERIFICATION SYSTEMS AGAINST VOICE CONVERSION SPOOFING ATTACKS: THE CASE OF TELEPHONE SPEECH
Tomi Kinnunen, University of Eastern Finland, Finland; Zhizheng Wu, Nanyang Technological University, Singapore; Kong Aik Lee, Institute for Infocomm Research, Singapore; Filip Sedlak, University of Eastern Finland, Finland; Eng-Siong Chng, Nanyang Technological University, Singapore; Haizhou Li, Institute for Infocomm Research, Singapore
SP-P5.1: IMPROVING LANGUAGE MODELS FOR ASR USING TRANSLATED IN-DOMAIN DATA
Stefan Kombrink, Tomas Mikolov, Martin Karafiat, Lukáš Burget, Brno University of Technology, Czech Republic
SP-P5.2: EXPLOITING SPARSENESS IN DEEP NEURAL NETWORKS FOR LARGE VOCABULARY SPEECH RECOGNITION
Dong Yu, Microsoft Research, United States; Frank Seide, Gang Li, Microsoft Research Asia, China; Li Deng, Microsoft Research, United States
SP-P5.3: IMPROVING ACOUSTIC BASED KEYWORD SPOTTING USING LVCSR LATTICES
Petr Motlicek, Fabio Valente, IDIAP Research Institute, Switzerland; Igor Szöke, Brno University of Technology, Czech Republic
SP-P5.4: UNSUPERVISED VOCABULARY SELECTION FOR REAL-TIME SPEECH RECOGNITION OF LECTURES
Paul Maergner, Carnegie Mellon University, United States; Alex Waibel, Karlsruhe Institute of Technology, Germany; Ian Lane, Carnegie Mellon University, United States
SP-P5.5: A LAYERED APPROACH FOR DUTCH LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION
Joris Pelemans, Kris Demuynck, Patrick Wambacq, Katholieke Universiteit Leuven, Belgium
SP-P5.6: JOINING ADVANTAGES OF WORD-CONDITIONED AND TOKEN-PASSING DECODING
David Nolden, David Rybach, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-P5.7: EXTENDED SEARCH SPACE PRUNING IN LVCSR
David Nolden, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SP-P5.8: USING A* FOR THE PARALLELIZATION OF SPEECH RECOGNITION SYSTEMS
Patrick Cardinal, Gilles Boulianne, CRIM, Canada; Pierre Dumouchel, ETS, Canada
SP-P5.9: INVESTIGATIONS ON EXEMPLAR-BASED FEATURES FOR SPEECH RECOGNITION TOWARDS THOUSANDS OF HOURS OF UNSUPERVISED, NOISY DATA
Georg Heigold, Patrick Nguyen, Mitchel Weintraub, Vincent Vanhoucke, Google, Inc., United States
SP-P5.10: GOOGLE’S CROSS-DIALECT ARABIC VOICE SEARCH
Fadi Biadsy, Pedro Moreno, Martin Jansche, Google, Inc., United States
SP-P5.11: AUTOMATIC ERROR REGION DETECTION AND CHARACTERIZATION IN LVCSR TRANSCRIPTIONS OF TV NEWS SHOWS
Richard Dufour, Géraldine Damnati, Delphine Charlet, Orange Labs, France Telecom, France
SP-P5.12: IMPROVING ARABIC BROADCAST TRANSCRIPTION USING AUTOMATIC TOPIC CLUSTERING
Stephen Chu, Lidia Mangu, IBM T.J. Watson Research Center, United States
SP-P6.1: ROBUST SPEECH ANALYSIS BY LAG-WEIGHTED LINEAR PREDICTION
Jouni Pohjalainen, Paavo Alku, Aalto University, Finland
SP-P6.2: SYLLABLE: A SELF-CONTAINED UNIT TO MODEL PRONUNCIATION VARIATION
Raymond W. M. Ng, Keikichi Hirose, The University of Tokyo, Japan
SP-P6.3: A COMPARISON OF WAVEFORM FRACTAL DIMENSION TECHNIQUES FOR VOICE PATHOLOGY CLASSIFICATION
Pallavi Baljekar, Manipal Institute of Technology, India; Hemant Patil, Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), India
SP-P6.4: EVALUATION OF OBJECTIVE INTELLIGIBILITY PREDICTION MEASURES FOR NOISE-REDUCED SIGNALS IN MANDARIN
Risheng Xia, Junfeng Li, Chinese Academy of Sciences, China; Masato Akagi, Japan Advanced Institute of Science and Technology, Japan; Yonghong Yan, Chinese Academy of Sciences, China
SP-P6.5: ROBUST BLOCK-BASED CLUSTERING AND IDENTIFICATION OF AUTOREGRESSIVE SPEECH PARAMETERS BASED ON DYNAMIC STATE TRACKING
Ruofei Chen, Cheung-Fat Chan, City University of Hong Kong, Hong Kong SAR of China
SP-P6.6: COMPLEXITY-AWARE ADAPTIVE JITTER BUFFER WITH TIME-SCALING
Liyun Pang, Anisse Taleb, Jianfeng Xu, Huawei European Research Center, Germany; Laszlo Böszörmenyi, University Klagenfurt, Austria
SP-P6.7: NON INTRUSIVE CODEC IDENTIFICATION ALGORITHM
Dushyant Sharma, Patrick A. Naylor, Nikolay D. Gaubitch, Mike Brookes, Imperial College London, United Kingdom
SP-P6.8: REGULARISING AN ADAPTATION ALGORITHM FOR TONGUE SHAPE MODELS
Mohsen Farhadloo, Miguel A. Carreira-Perpinan, University of California at Merced, United States
SP-P6.9: AN ACOUSTIC ANALYSIS OF SHARED ENJOYMENT IN ECA INTERACTIONS OF CHILDREN WITH AUTISM
Theodora Chaspari, Emily Mower Provost, Athanasios Katsamanis, Shrikanth Narayanan, University of Southern California, United States
SP-P6.10: DIFFERENCES IN THE EFFECT OF TIME-EXPANDED AND TIME-CONTRACTED SPEECH ON INTELLIGIBILITY BY PHONETIC FEATURE
Toru Shibuya, NEC Communication Systems, Ltd. / Yamagata University, Japan; Yosuke Kobayashi, Graduate School of Science and Engineering, Yamagata University, Japan; Hitomi Watanabe, Yamagata University, Japan; Kazuhiro Kondo, Graduate School of Science and Engineering, Yamagata University, Japan
SP-P7.1: COMBINING VOCAL TRACT LENGTH NORMALIZATION WITH HIERARCHIAL LINEAR TRANSFORMATIONS
Lakshmi Saheer, IDIAP Research Institute / École Polytechnique Fédérale de Lausanne, Switzerland; Junichi Yamagishi, Centre for Speech Technology Research, University of Edinburgh, United Kingdom; Philip N. Garner, John Dines, IDIAP Research Institute, Switzerland
SP-P7.2: STATISTICAL APPROACH TO VOICE QUALITY CONTROL IN ESOPHAGEAL SPEECH ENHANCEMENT
Kenzo Yamamoto, Tomoki Toda, Hironori Doi, Hiroshi Saruwatari, Kiyohiro Shikano, Nara Institute of Science and Technology, Japan
SP-P7.3: CREATING SYNTHETIC VOICES FOR CHILDREN BY ADAPTING ADULT AVERAGE VOICE USING STACKED TRANSFORMATIONS AND VTLN
Reima Karhila, Aalto University, Finland; D.R. Sanand, Norwegian University of Science and Technology, Norway; Mikko Kurimo, Peter Smit, Aalto University, Finland
SP-P7.4: GAUSSIAN PROCESS DYNAMICAL MODELS FOR NONPARAMETRIC SPEECH REPRESENTATION AND SYNTHESIS
Gustav Eje Henter, KTH Royal Institute of Technology, Sweden; Marcus R. Frean, W. Bastiaan Kleijn, Victoria University of Wellington, New Zealand
SP-P7.5: TEMPLATE-BASED PERSONALIZED SINGING VOICE SYNTHESIS
Ling Cen, Minghui Dong, Paul Chan, Institute for Infocomm Research (I²R), A*STAR, Singapore, Singapore
SP-P7.6: IMPROVED MINIMUM CONVERTED TRAJECTORY ERROR TRAINING FOR REAL-TIME SPEECH-TO-LIPS CONVERSION
Wei Han, Shanghai Jiao Tong University, China; Lijuan Wang, Frank Soong, Microsoft Research Asia, China; Bo Yuan, Shanghai Jiao Tong University, China
SP-P7.7: LOCAL LINEAR TRANSFORMATION FOR VOICE CONVERSION
Victor Popa, Hanna Silen, Tampere University of Technology, Finland; Jani Nurminen, Nokia, Finland; Moncef Gabbouj, Tampere University of Technology, Finland
SP-P7.8: CROSS-LINGUAL FRAME SELECTION METHOD FOR POLYGLOT SPEECH SYNTHESIS
Chia-Ping Chen, National Sun Yat-Sen University, Taiwan; Yi-Chin Huang, Chung-Hsien Wu, Kuan-De Lee, National Cheng Kung University, Taiwan
SP-P7.9: EFFECT OF ANTI-ALIASING FILTERING ON THE QUALITY OF SPEECH FROM AN HMM-BASED SYNTHESIZER
Yoshinori Shiga, National Institute of Information and Communications Technology, Japan
SP-P7.10: HIGH QUALITY LIP-SYNC ANIMATION FOR 3D PHOTO-REALISTIC TALKING HEAD
Lijuan Wang, Microsoft Research Asia, China; Wei Han, Shanghai Jiao Tong University, China; Frank Soong, Microsoft Research Asia, China
SP-P7.11: TOWARDS AUTOMATIC PHONETIC SEGMENTATION FOR TTS
Asaf Rendel, Alexander Sorin, Ron Hoory, IBM, Israel; Andrew Breen, Nuance, United Kingdom
SP-P7.12: A SMALL FOOTPRINT HYBRID STATISTICAL/UNIT SELECTION TEXT-TO-SPEECH SYNTHESIS SYSTEM FOR AGGLUTINATIVE LANGUAGES
Ekrem Guner, Cenk Demiroglu, Ozyegin University, Turkey
SP-P8.1: ON GENERALIZATION OF CLASSIFICATION BASED SPEECH SEPARATION
Kun Han, DeLiang Wang, The Ohio State University, United States
SP-P8.2: SVM-BASED SEPARATION OF UNVOICED-VOICED SPEECH IN COCHANNEL CONDITIONS
Ke Hu, DeLiang Wang, The Ohio State University, United States
SP-P8.3: BLIND DEREVERBERATION OF SINUSOID SIGNALS USING PLL-BASED COMBINED PHASE AND AMPLITUDE ANALYSIS
Ralf Huber, Florian Kraft, Alex Waibel, Karlsruhe Institute of Technology, Germany
SP-P8.4: NOISE ESTIMATION USING A CONSTRAINED SEQUENTIAL HMM IN LOG-SPECTRAL DOMAIN
Dongwen Ying, Key Laboratory of Speech Acoustics and Content Understanding, Chinese Academy of Sciences, China; Xugang Lu, National Institute of Information and Communications Technology, Japan; Junfeng Li, Yonghong Yan, Key Laboratory of Speech Acoustics and Content Understanding, Chinese Academy of Sciences, China; Jianwu Dang, Tianjin University, China; Frank Soong, Microsoft Research Asia, China
SP-P8.5: A BAYESIAN FRAMEWORK FOR ROBUST SPEECH ENHANCEMENT UNDER VARYING CONTEXTS
D. Hanumantha Rao Naidu, Sri Sathya Sai Institute of Higher Learning, India; Sriram Srinivasan, Philips Research, Netherlands
SP-P8.6: SINGLE CHANNEL SPEECH ENHANCEMENT USING BAYESIAN NMF WITH RECURSIVE TEMPORAL UPDATES OF PRIOR DISTRIBUTIONS
Nasser Mohammadiha, Jalil Taghia, Arne Leijon, KTH Royal Institute of Technology, Sweden
SP-P8.7: MUSICAL-NOISE-FREE SPEECH ENHANCEMENT: THEORY AND EVALUATION
Ryoichi Miyazaki, Hiroshi Saruwatari, Takayuki Inoue, Kiyohiro Shikano, Nara Institute of Science and Technology, Japan; Kazunobu Kondo, Yamaha Corporation, Japan
SP-P8.8: EXPLOITING THE HARMONIC STRUCTURE FOR SPEECH ENHANCEMENT
Eunjoon Cho, Julius Smith, Bernard Widrow, Stanford University, United States
SP-P8.9: BLACK BOX MEASUREMENT OF MUSICAL TONES PRODUCED BY NOISE REDUCTION SYSTEMS
Huajun Yu, Tim Fingscheidt, Technische Universität Braunschweig, Germany
SP-P8.10: TRANSFORM-DOMAIN WIENER FILTER FOR SPEECH PERIODICITY ENHANCEMENT
Feng Huang, Tan Lee, The Chinese University of Hong Kong, Hong Kong SAR of China; W. Bastiaan Kleijn, KTH Royal Institute of Technology, Sweden
SP-P9.1: COMPLEX CEPSTRUM AS PHASE INFORMATION IN STATISTICAL PARAMETRIC SPEECH SYNTHESIS
Ranniery Maia, Toshiba Research Europe Limited, United Kingdom; Masami Akamine, Toshiba Corporation, Japan; Mark J.F. Gales, Toshiba Research Europe Limited, United Kingdom
SP-P9.2: EXEMPLAR-BASED PITCH CONTOUR GENERATION USING DOP FOR SYNTACTIC TREE DECOMPOSITION
Mohamed Abou-Zleikha, Peter Cahill, Julie Carson-Berndsen, University College Dublin, Ireland
SP-P9.3: AN F0 MODELING TECHNIQUE BASED ON PROSODIC EVENTS FOR SPONTANEOUS SPEECH SYNTHESIS
Tomoki Koriyama, Takashi Nose, Takao Kobayashi, Tokyo Institute of Technology, Japan
SP-P9.4: DETECTING A TARGETED VOICE STYLE IN AN AUDIOBOOK USING VOICE QUALITY FEATURES
Eva Szekely, University College Dublin, Ireland; John Kane, Trinity College Dublin, Ireland; Stefan Scherer, University of Southern California, United States; Christer Gobl, Trinity College Dublin, Ireland; Julie Carson-Berndsen, University College Dublin, Ireland
SP-P9.5: PUNCTUATION GENERATION INSPIRED LINGUISTIC FEATURES FOR MANDARIN PROSODIC BOUNDARY PREDICTION
Chen-Yu Chiang, Yih-Ru Wang, Sin-Horng Chen, National Chiao Tung University, Taiwan
SP-P9.6: SPARSITY-BASED CONFIDENCE MEASURE FOR PITCH ESTIMATION IN NOISY SPEECH
Feng Huang, Tan Lee, The Chinese University of Hong Kong, Hong Kong SAR of China
SP-P9.7: AN EXTENSION OF THE ADAPTIVE QUASI-HARMONIC MODEL
George P. Kafentzis, Orange Labs, France Telecom, France; Yannis Pantazis, University of Massachusetts, United States; Olivier Rosec, Orange Labs, France Telecom, France; Yannis Stylianou, Foundation for Research and Technology-Hellas, Greece
SP-P9.8: PHYSICAL CHARACTERISTICS OF VOCAL FOLDS DURING SPEECH UNDER STRESS
Xiao Yao, Nagoya University, Japan; Takatoshi Jitsuhiro, Nagoya University / Aichi University of Technology, Japan; Chiyomi Miyajima, Norihide Kitaoka, Kazuya Takeda, Nagoya University, Japan
SP-P9.9: EARLY PREDICTION OF MAJOR DEPRESSION IN ADOLESCENTS USING GLOTTAL WAVE CHARACTERISTICS AND TEAGER ENERGY PARAMETERS
Kuan Ee Brian Ooi, Lu-Shih Alex Low, Margaret Lech, RMIT University, Australia; Nicholas Allen, Melbourne University, Australia
SP-P9.10: AN APPROXIMATE BAYESIAN FUNDAMENTAL FREQUENCY ESTIMATOR
Jesper Kjær Nielsen, Mads Græsbøll Christensen, Søren Holdt Jensen, Aalborg University, Denmark
SP-P9.11: PREDICTION OF F0 CONTOURS FROM SYMBOLIC AND NUMERICAL VARIABLES USING CONTINUOUS CONDITIONAL RANDOM FIELDS
Raul Fernandez, IBM Research, United States; Steve Minnis, Nuance Communications, United Kingdom; Bhuvana Ramabhadran, IBM Research, United States
SP-P9.12: FINE-TUNING HMMS FOR NONVERBAL VOCALIZATIONS IN SPONTANEOUS SPEECH: A MULTICORPUS PERSPECTIVE
Dmytro Prylipko, Otto-von-Guericke University Magdeburg, Germany; Björn Schuller, Technische Universität München, Germany; Andreas Wendemuth, Otto-von-Guericke University Magdeburg, Germany
SP-P10.1: TWO-MICROPHONE SOURCE SEPARATION ALGORITHM BASED ON STATISTICAL MODELING OF ANGLE DISTRIBUTIONS
Chanwoo Kim, Charbel Khawand, Microsoft Corporation, United States; Richard Stern, Carnegie Mellon University, United States
SP-P10.2: MULTICHANNEL NOISE REDUCTION WIENER FILTER IN THE KARHUNEN-LOÈVE EXPANSION DOMAIN
Yesenia Lacouture-Parodi, Emanüel A. P. Habets, University Erlangen-Nuremberg and Fraunhofer IIS, Germany; Jacob Benesty, University of Quebec, Canada
SP-P10.3: A PSYCHOACOUSTICALLY MOTIVATED SPEECH DISTORTION WEIGHTED MULTI-CHANNEL WIENER FILTER FOR NOISE REDUCTION
Bruno Defraene, Kim Ngo, Toon van Waterschoot, Moritz Diehl, Marc Moonen, Katholieke Universiteit Leuven, Belgium
SP-P10.4: BIT-RATE REDUCTION STRATEGIES FOR NOISE SUPPRESSION WITH A REMOTE WIRELESS MICROPHONE
Nemanja Cvijanovic, RWTH Aachen University, Germany; Ousman Sadiq, University of Strathclyde, United Kingdom; Sriram Srinivasan, Philips Research, Netherlands
SP-P10.5: INVENTORY-STYLE SPEECH ENHANCEMENT WITH UNCERTAINTY-OF-OBSERVATION TECHNIQUES
Robert M. Nickel, Bucknell University, United States; Ramon F. Astudillo, INESC-ID Lisboa, Spoken Language Systems Lab, Portugal; Dorothea Kolossa, Steffen Zeiler, Rainer Martin, Ruhr-Universität Bochum, Germany
SP-P10.6: ADAPTIVE NOISE POWER ESTIMATION USING SPECTRAL DIFFERENCE FOR ROBUST SPEECH ENHANCEMENT
Jae-Hun Choi, Sang-Kyun Kim, Joon-Hyuk Chang, Hanyang University, Republic of Korea
SP-P10.7: A SOLUTION TO RESIDUAL NOISE IN SPEECH DENOISING WITH SPARSE REPRESENTATION
Yongjun He, Jiqing Han, Shiwen Deng, Tieran Zheng, Guibin Zheng, Harbin Institute of Technology, China
SP-P10.8: TRADE-OFF EVALUATION FOR SPEECH ENHANCEMENT ALGORITHMS WITH RESPECT TO THE A PRIORI SNR ESTIMATION
Pei Chee Yong, Sven Nordholm, Hai Huyen Dam, Curtin University, Australia
SP-P10.9: COMPENSATING FOR DENOISING ARTIFACTS
Rita Singh, Carnegie Mellon University, United States
SP-P10.10: SPEECH ENHANCEMENT USING PRE-IMAGE ITERATIONS
Christina Leitner, Franz Pernkopf, Graz University of Technology, Austria
SP-P11.1: FACTOR ANALYSIS BASED VTS DISCRIMINATIVE ADAPTIVE TRAINING
Federico Flego, Cambridge University, United Kingdom; Mark Gales, University of Cambridge, United Kingdom
SP-P11.2: COMBINING EIGENVOICE SPEAKER MODELING AND VTS-BASED ENVIRONMENT COMPENSATION FOR ROBUST SPEECH RECOGNITION
Zhijian Ou, Kan Deng, Tsinghua University, China
SP-P11.3: IMPROVEMENTS TO VTS FEATURE ENHANCEMENT
Jinyu Li, Michael Seltzer, Yifan Gong, Microsoft Corporation, United States
SP-P11.4: NON-NEGATIVE MATRIX FACTORIZATION FOR HIGHLY NOISE-ROBUST ASR: TO ENHANCE OR TO RECOGNIZE?
Felix Weninger, Martin Wöllmer, Jürgen Geiger, Björn Schuller, Technische Universität München, Germany; Jort Gemmeke, Katholieke Universiteit Leuven, Belgium; Antti Hurmalainen, Tuomas Virtanen, Tampere University of Technology, Finland; Gerhard Rigoll, Technische Universität München, Germany
SP-P11.5: ASR-DRIVEN TOP-DOWN BINARY MASK ESTIMATION USING SPECTRAL PRIORS
William Hartmann, Eric Fosler-Lussier, The Ohio State University, United States
SP-P11.6: TWO-DIMENSIONAL FRAME-AND-FEATURE WEIGHTED VITERBI DECODING FOR ROBUST SPEECH RECOGNITION
Chang Yang, Lee Lin Shan, National Taiwan University, Taiwan
SP-P11.7: COMBINING MISSING-DATA RECONSTRUCTION AND UNCERTAINTY DECODING FOR ROBUST SPEECH RECOGNITION
Jose Andres Gonzalez Lopez, Antonio Miguel Peinado Herreros, Angel Manuel Gomez Garcia, University of Granada, Spain; Ning Ma, Jon Barker, University of Sheffield, United Kingdom
SP-P11.8: HISTOGRAM-BASED SUBBAND POWER WARPING AND SPECTRAL AVERAGING FOR ROBUST SPEECH RECOGNITION UNDER MATCHED AND MULTISTYLE TRAINING
Mark Harvilla, Richard Stern, Carnegie Mellon University, United States
SP-P11.9: A COMPARISON OF FRONT-END COMPENSATION STRATEGIES FOR ROBUST LVCSR UNDER ROOM REVERBERATION AND INCREASED VOCAL EFFORT
Seyed Omid Sadjadi, Hynek Boril, John H. L. Hansen, The University of Texas at Dallas, United States
SP-P11.10: STEREO-BASED STOCHASTIC MAPPING WITH CONTEXT USING PROBABILISTIC PCA FOR NOISE ROBUST AUTOMATIC SPEECH RECOGNITION
Xiaodong Cui, IBM T.J. Watson Research Center, United States; Mohamed Afify, Orange Labs, France Telecom, Egypt; Bowen Zhou, IBM T.J. Watson Research Center, United States
SP-P11.11: NOISE AND SPEAKER COMPENSATION IN THE LOG FILTER BANK DOMAIN
Vikas Joshi, Raghavendra Bilgi, Umesh Srinivasan, Indian Institute of Technology, Madras, India; Luz Garcia Martinez, Universidad de Granada, Spain; Carmen Benítez Ortúzar, University of Granada, Spain
SP-P11.12: NOISE SUPPRESSION WITH UNSUPERVISED JOINT SPEAKER ADAPTATION AND NOISE MIXTURE MODEL ESTIMATION
Masakiyo Fujimoto, Shinji Watanabe, Tomohiro Nakatani, NTT Communication Science Laboratories, NTT Corporation, Japan
SP-P12.1: AN INVESTIGATION OF TIED-MIXTURE GMM BASED TRIPHONE STATE CLUSTERING
Guangsen Wang, Khe Chai Sim, National University of Singapore, Singapore
SP-P12.2: REVISITING SEMI-CONTINUOUS HIDDEN MARKOV MODELS
Korbinian Riedhammer, Tobias Bocklet, University Erlangen-Nuremberg, Germany; Arnab Ghoshal, University of Edinburgh, Germany; Daniel Povey, Microsoft Research, Germany
SP-P12.3: SPECTROGRAPHIC SEAM PATTERNS FOR DISCRIMINATIVE WORD SPOTTING
Shubhranshu Barnwal, Kamal Sahni, Indian Institute of Technology, Kanpur, India; Rita Singh, Bhiksha Raj, Carnegie Mellon University, India
SP-P12.4: A CHUNK-BASED PHONETIC SCORE FOR MOBILE VOICE SEARCH
Rohit Prabhavalkar, The Ohio State University, United States; Jasha Droppo, Microsoft Research, United States
SP-P12.5: ADAPTIVE BOOSTING FEATURES FOR AUTOMATIC SPEECH RECOGNITION
Kham Nguyen, Northeastern University, United States; Tim Ng, Long Nguyen, BBN Technologies, United States
SP-P12.6: LOW RESOURCE SPEECH RECOGNITION WITH AUTOMATICALLY LEARNED SPARSE INVERSE COVARIANCE MATRICES
Weibin Zhang, Pascale Fung, Hong Kong University of Science and Technology, China
SP-P12.7: IMPROVED TONE MODELING BY EXPLOITING ARTICULATORY FEATURES FOR MANDARIN SPEECH RECOGNITION
Hao Chao, Zhanlei Yang, Wenju Liu, Chinese Academy of Sciences, China
SP-P12.8: DISCRIMINATIVE TRAINING FOR SPEECH RECOGNITION IS COMPENSATING FOR STATISTICAL DEPENDENCE IN THE HMM FRAMEWORK
Dan Gillick, Steven Wegmann, International Computer Science Institute, United States; Larry Gillick, EnglishCentral, Inc., United States
SP-P12.9: DISCRIMINATIVE DYNAMIC GAUSSIAN MIXTURE SELECTION WITH ENHANCED ROBUSTNESS AND PERFORMANCE FOR MULTI-ACCENT SPEECH RECOGNITION
Chao Zhang, Yi Liu, Yunqing Xia, Tsinghua University, China; Chin-Hui Lee, Georgia Institute of Technology, United States
SP-P12.10: DISCRIMINATIVE FEATURE TRANSFORMS USING DIFFERENCED MAXIMUM MUTUAL INFORMATION
Marc Delcroix, Atsunori Ogawa, Shinji Watanabe, Tomohiro Nakatani, Atsushi Nakamura, NTT Communication Science Laboratories, Japan
SP-P12.11: AN INTEGRATED APPROACH TO FEATURE COMPENSATION COMBINING PARTICLE FILTERS AND HIDDEN MARKOV MODELS FOR ROBUST SPEECH RECOGNITION
Aleem Mushtaq, Chin Hui-Lee, Georgia Institute of Technology, United States
SP-P12.12: IMPLICIT TRAJECTORY MODELLING USING TEMPORALLY VARYING WEIGHT REGRESSION FOR AUTOMATIC SPEECH RECOGNITION
Shilin Liu, Khe Chai Sim, National University of Singapore, Singapore
SP-P13.1: DETERMINING THE NUMBER OF SPEAKERS IN A MEETING USING MICROPHONE ARRAY FEATURES
Erich Zwyssig, EADS IW, United Kingdom; Steve Renals, Mike Lincoln, The University of Edinburgh, United Kingdom
SP-P13.2: COMPARING SPECTRUM ESTIMATORS IN SPEAKER VERIFICATION UNDER ADDITIVE NOISE DEGRADATION
Cemal Hanilci, Uludag University, Turkey; Tomi Kinnunen, Rahim Saeidi, University of Eastern Finland, Finland; Jouni Pohjalainen, Paavo Alku, Aalto University, Finland; Figen Ertas, Uludag University, Turkey; Johan Sandberg, Maria Hansson-Sandsten, Lund University, Sweden
SP-P13.3: I-VECTORS IN THE CONTEXT OF PHONETICALLY-CONSTRAINED SHORT UTTERANCES FOR SPEAKER VERIFICATION
Anthony Larcher, Institute for Infocomm Research, Singapore; Pierre-Michel Bousquet, University of Avignon - LIA, France; Kong Aik Lee, Institute for Infocomm Research, Singapore; Driss Matrouf, University of Avignon - LIA, France; Haizhou Li, Institute for Infocomm Research, Singapore; Jean-François Bonastre, Université d'Avignon, France
SP-P13.4: INTONATIONAL SPEAKER VERIFICATION: A STUDY ON PARAMETERS AND PERFORMANCE UNDER NOISY CONDITIONS
Sadjad Siddiq, Tomi Kinnunen, University of Eastern Finland, Finland; Martti Vainio, University of Helsinki, Finland; Stefan Werner, University of Eastern Finland, Finland
SP-P13.5: WEIGHTED LDA TECHNIQUES FOR I-VECTOR BASED SPEAKER VERIFICATION
Ahilan Kanagasundaram, David Dean, Robbie Vogt, Queensland University of Technology, Australia; Mitchell McLaren, Radboud University Nijmegen, Netherlands; Sridharan Subramanian, Michael Mason, Queensland University of Technology, Australia
SP-P13.6: SPARSE REPRESENTATION OVER LEARNED AND DISCRIMINATIVELY LEARNED DICTIONARIES FOR SPEAKER VERIFICATION
Haris B. C., Rohit Sinha, Indian Institute of Technology, Guwahati, India
SP-P13.7: EFFICIENT APPROXIMATED I-VECTOR EXTRACTION
Hagai Aronowitz, Oren Barkan, IBM Research, Israel
SP-P13.8: A FAST SPEAKER VERIFICATION WITH UNIVERSAL BACKGROUND SUPPORT DATA SELECTION
Gang Liu, Jun-Won Suh, John H. L. Hansen, The University of Texas at Dallas, United States
SP-P13.9: KEYWORD-CONDITIONED PHONE N-GRAM MODELING WITH CONTEXTUAL INFORMATION FOR SPEAKER VERIFICATION
Kyu Han, Jason Pelecanos, Mohamed Omar, IBM T.J. Watson Research Center, United States
SP-P14.1: GRAPHEME-TO-PHONEME MODEL GENERATION FOR INDO-EUROPEAN LANGUAGES
Tim Schlippe, Sebastian Ochs, Tanja Schultz, Karlsruhe Institute of Technology, Germany
SP-P14.2: A DEEP ARCHITECTURE WITH BILINEAR MODELING OF HIDDEN REPRESENTATIONS: APPLICATIONS TO PHONETIC RECOGNITION
Brian Hutchinson, University of Washington, United States; Li Deng, Dong Yu, Microsoft Research, United States
SP-P14.3: TRANSITION PROBABILITIES ARE MORE IMPORTANT THAN WE ONCE THOUGHT
Guoli Ye, Dongpeng Chen, Brian Mak, Hong Kong University of Science and Technology, Hong Kong SAR of China
SP-P14.4: A MODEL STRUCTURE INTEGRATION BASED ON A BAYESIAN FRAMEWORK FOR SPEECH RECOGNITION
Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan
SP-P14.5: SYSTEM COMBINATION FOR OUT-OF-VOCABULARY WORD DETECTION
Long Qin, Ming Sun, Alexander Rudnicky, Carnegie Mellon University, United States
SP-P14.6: EVALUATING GRAPHEME-TO-PHONEME CONVERTERS IN AUTOMATIC SPEECH RECOGNITION CONTEXT
Denis Jouvet, LORIA - INRIA, France; Dominique Fohr, LORIA - CNRS, France; Irina Illina, LORIA - University Nancy 2, France
SP-P14.7: INSIGHTS INTO MACHINE LIP READING
Yuxuan Lan, Richard Harvey, Barry-John Theobald, University of East Anglia, United Kingdom
SP-P14.8: UNSUPERVISED TRAINING OF SUBSPACE GAUSSIAN MIXTURE MODELS FOR CONVERSATIONAL TELEPHONE SPEECH RECOGNITION
Zejun Ma, Xiaorui Wang, Bo Xu, Chinese Academy of Sciences, China
SP-P14.9: LOWER AND UPPER BOUNDS FOR APPROXIMATION OF THE KULLBACK-LEIBLER DIVERGENCE BETWEEN GAUSSIAN MIXTURE MODELS
Jean-Louis Durrieu, Jean-Philippe Thiran, École Polytechnique Fédérale de Lausanne, Switzerland; Finnian Kelly, Trinity College Dublin, Ireland
SP-P14.10: FUSION OF STANDARD AND ALTERNATIVE ACOUSTIC SENSORS FOR ROBUST AUTOMATIC SPEECH RECOGNITION
Panikos Heracleous, Jani Even, Carlos Ishi, Takahiro Miyashita, Norihiro Hagita, ATR, Japan
SP-P14.11: ACOUSTIC DATA-DRIVEN GRAPHEME-TO-PHONEME CONVERSION USING KL-HMM
Ramya Rasipuram, Mathew Magimai Doss, IDIAP Research Institute, Switzerland
SP-P14.12: CREATING ENSEMBLE OF DIVERSE MAXIMUM ENTROPY MODELS
Kartik Audhkhasi, University of Southern California, United States; Abhinav Sethy, Bhuvana Ramabhadran, International Business Machines, United States; Shrikanth Narayanan, University of Southern California, United States
SP-P15.1: DISCRIMINATIVE TRAINING OF WEIGHTED POLYNOMIAL VECTOR FOR ACOUSTIC LANGUAGE RECOGNITION
Ce Zhang, Rong Zheng, Bo Xu, Digital Content Technology Research Center, Institute of Automation,Chinese Academy of Sciences, China
SP-P15.2: DISCRIMINATIVE CLASSIFIERS FOR PHONOTACTIC LANGUAGE RECOGNITION WITH IVECTORS
Mehdi Soufifar, Norwegian University of Science and Technology, Norway; Sandro Cumani, Politecnico di Torino, Italy; Lukáš Burget, Honza Cernocky, Brno University of Technology, Czech Republic
SP-P15.3: A HYBRID PHONOTACTIC LANGUAGE IDENTIFICATION SYSTEM WITH AN SVM BACK-END FOR SIMULTANEOUS LECTURE TRANSLATION
Michael Heck, Sebastian Stüker, Alex Waibel, Karlsruhe Institute of Technology, Germany
SP-P15.4: IVECTOR-BASED PROSODIC SYSTEM FOR LANGUAGE IDENTIFICATION
David Martinez Gonzalez, University of Zaragoza, Spain; Lukáš Burget, Luciana Ferrer, Nicolas Scheffer, SRI International, United States
SP-P15.5: PHONE SET CONSTRUCTION BASED ON CONTEXT-SENSITIVE ARTICULATORY ATTRIBUTES FOR CODE-SWITCHING SPEECH RECOGNITION
Chung-Hsien Wu, Han-Ping Shen, Yan-Ting Yang, National Cheng Kung University, Taiwan
SP-P15.6: USING KL-DIVERGENCE AND MULTILINGUAL INFORMATION TO IMPROVE ASR FOR UNDER-RESOURCED LANGUAGES
David Imseng, Hervé Bourlard, Philip N. Garner, IDIAP Research Institute, Switzerland
SP-P15.7: RECOGNITION OF HIGHLY IMBALANCED CODE-MIXED BILINGUAL SPEECH WITH FRAME-LEVEL LANGUAGE DETECTION BASED ON BLURRED POSTERIORGRAM
Ching-Feng Yeh, Aaron Heidel, Hong-Yi Lee, Lin-Shan Lee, National Taiwan University, Taiwan
SP-P15.8: MAXIMUM A POSTERIORI ADAPTATION OF SUBSPACE GAUSSIAN MIXTURE MODELS FOR CROSS-LINGUAL SPEECH RECOGNITION
Liang Lu, Arnab Ghoshal, Steve Renals, University of Edinburgh, United Kingdom
SP-P15.9: RECOGNITION OF MULTILINGUAL SPEECH IN MOBILE APPLICATIONS
Hui Lin, University of Washington, United States; Jui-Ting Huang, The University of Illinois at Urbana-Champaign, United States; Francoise Beaufays, Brian Strope, Yun-Hsuan Sung, Google, Inc., United States
SP-P15.10: REGION DEPENDENT LINEAR TRANSFORMS IN MULTILINGUAL SPEECH RECOGNITION
Martin Karafiát, Miloš Janda, Jan Cernocký, Brno University of Technology, Czech Republic; Lukáš Burget, SRI International, United States
SP-P15.11: A FIRST SPEECH RECOGNITION SYSTEM FOR MANDARIN-ENGLISH CODE-SWITCH CONVERSATIONAL SPEECH
Ngoc Thang Vu, Karlsruhe Institute of Technology, Germany; Dau-Cheng Lyu, Nanyang Technological University, Singapore; Jochen Weiner, Dominic Telaar, Tim Schlippe, Fabian Blaicher, Karlsruhe Institute of Technology, Germany; Eng-Siong Chng, Nanyang Technological University, Singapore; Tanja Schultz, Karlsruhe Institute of Technology, Germany; Haizhou Li, Nanyang Technological University, Singapore
SP-P15.12: DEALING WITH ACOUSTIC MISMATCH FOR TRAINING MULTILINGUAL SUBSPACE GAUSSIAN MIXTURE MODELS FOR SPEECH RECOGNITION
Aanchan Mohan, Sina Hamidi Ghalehjegh, Richard Rose, McGill University, Canada
SP-P16.1: ARTIFICIAL STEREO DATA GENERATION FOR SPEECH FEATURE MAPPING
Chang Woo Han, Tae Gyoon Kang, Shin Jae Kang, June Sig Sung, Nam Soo Kim, Seoul National University, Republic of Korea
SP-P16.2: A TWO-MICROPHONE BASED VOICE ACTIVITY DETECTION FOR DISTANT-TALKING SPEECH IN WIDE RANGE OF DIRECTION OF ARRIVAL
Yanmeng Guo, Kai Li, Qiang Fu, Yonghong Yan, Chinese Academy of Sciences, China
SP-P16.3: ON USING THE AUDITORY IMAGE MODEL AND INVARIANT-INTEGRATION FOR NOISE ROBUST AUTOMATIC SPEECH RECOGNITION
Florian Müller, Alfred Mertins, University of Lübeck, Germany
SP-P16.4: INTEGRATION OF BEAMFORMING AND AUTOMATIC SPEECH RECOGNITION THROUGH PROPAGATION OF THE WIENER POSTERIOR
Ramon F. Astudillo, Alberto Abad, Joao Neto, Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
SP-P16.5: TIME-VARYING RESIDUAL NOISE FEATURE MODEL ESTIMATION FOR MULTI-MICROPHONE SPEECH RECOGNITION
Takuya Yoshioka, Emmanuel Ternon, Tomohiro Nakatani, NTT Corporation, Japan
SP-P16.6: MUSIC MODELS FOR MUSIC-SPEECH SEPARATION
Thad Hughes, Trausti Kristjansson, Google, Inc., United States
SP-P16.7: MODEL-BASED NOISE REDUCTION LEVERAGING FREQUENCY-WISE CONFIDENCE METRIC FOR IN-CAR SPEECH RECOGNITION
Osamu Ichikawa, Steven Rennie, International Business Machines, Japan; Takashi Fukuda, IBM Research - Tokyo, Japan; Masafumi Nishimura, International Business Machines, Japan
SP-P16.8: ERROR TYPE CLASSIFICATION AND WORD ACCURACY ESTIMATION USING ALIGNMENT FEATURES FROM WORD CONFUSION NETWORK
Atsunori Ogawa, Takaaki Hori, Atsushi Nakamura, NTT Corporation, Japan
SP-P16.9: TOWARDS A DOMAIN-INDEPENDENT ASR-CONFIDENCE CLASSIFIER
Om D Deshmukh, Etienne Marcheret, Ashish Verma, IBM, India
SP-P16.10: CRF-BASED CONFIDENCE MEASURES OF RECOGNIZED CANDIDATES FOR LATTICE-BASED AUDIO INDEXING
Zhijian Ou, Huaqing Luo, Tsinghua University, China
SP-P16.11: CORPUS-INDEPENDENT HISTORY COMPRESSION FOR STOCHASTIC TURN-TAKING MODELS
Kornel Laskowski, Carnegie Mellon University, United States; Elizabeth Shriberg, Microsoft Speech Labs, United States
SP-P16.12: PROFLIFELOG: ENVIRONMENTAL ANALYSIS AND KEYWORD RECOGNITION FOR NATURALISTIC DAILY AUDIO STREAMS
Abhijeet Sangwan, Ali Ziaei, John H. L. Hansen, Center for Robust Speech Systems (CRSS), United States
SLP-L1.1: NEW METHODS AND EVALUATION EXPERIMENTS ON TRANSLATING TED TALKS IN THE IWSLT BENCHMARK
Amittai Axelrod, University of Washington, United States; Xiaodong He, Li Deng, Alex Acero, Mei-Yuh Hwang, Microsoft Research, United States
SLP-L1.2: EFFICIENT INTEGRATION OF TRANSLATION AND SPEECH MODELS IN DICTATION BASED MACHINE AIDED HUMAN TRANSLATION
Luis Rodríguez, University of Castilla La Mancha, Spain; Aarthi Reddy, Richard Rose, McGill University, Canada
SLP-L1.3: TRANSLATING NATURAL LANGUAGE UTTERANCES TO SEARCH QUERIES FOR SLU DOMAIN DETECTION USING QUERY CLICK LOGS
Dilek Hakkani-Tür, Gokhan Tur, Rukmini Iyer, Larry Heck, Microsoft Corporation, United States
SLP-L1.4: AUTOMATIC PRONUNCIATION PREDICTION FOR TEXT-TO-SPEECH SYNTHESIS OF DIALECTAL ARABIC IN A SPEECH-TO-SPEECH TRANSLATION SYSTEM
Sankaranarayanan Ananthakrishnan, Raytheon BBN Technologies, United States; Aravind Namandi Vembu, University of Southern California, United States; Stavros Tsakalidis, Rohit Prasad, Prem Natarajan, Raytheon BBN Technologies, United States
SLP-L1.5: A BOOTSTRAPPING APPROACH FOR SLU PORTABILITY TO A NEW LANGUAGE BY INDUCTING UNANNOTATED USER QUERIES
Teruhisa Misu, Etsuo Mizukami, Hideki Kashioka, Satoshi Nakamura, National Institute of Information and Communications Technology, Japan; Haizhou Li, Institute for Infocomm Research, Singapore
SLP-L1.6: PHRASE-LEVEL TRANSDUCTION MODEL WITH REORDERING FOR SPOKEN TO WRITTEN LANGUAGE TRANSFORMATION
Ping Xu, Pascale Fung, Ricky Chan, The Hong Kong University of Science and Technology, Hong Kong SAR of China
SLP-L2.1: EFFECT OF DIALOG ACTS ON WORD USE IN POLYLOGUE
Roland Roller, Shinji Watanabe, Tomoharu Iwata, NTT Communication Science Laboratories, Japan
SLP-L2.2: SEAMLESS ERROR CORRECTION INTERFACE FOR VOICE WORD PROCESSOR
Junhwi Choi, Kyungduk Kim, Sungjin Lee, Seokhwan Kim, Donghyeon Lee, Injae Lee, Gary Geunbae Lee, Pohang University of Science and Technology, Republic of Korea
SLP-L2.3: IMPROVING NONNATIVE SPEECH UNDERSTANDING USING CONTEXT AND N-BEST MEANING FUSION
Yushi Xu, Stephanie Seneff, Massachusetts Institute of Technology, United States
SLP-L2.4: CLUSTERING BEHAVIORS OF SPOKEN DIALOGUE SYSTEMS USERS
Senthilkumar Chandramohan, Supélec / Université d'Avignon, France; Geist Matthieu, Supélec, France; Fabrice Lefèvre, Université d'Avignon, France; Olivier Pietquin, Supélec, France
SLP-L2.5: SENTENCE RECOGNITION FROM ARTICULATORY MOVEMENTS FOR SILENT SPEECH INTERFACES
Jun Wang, Ashok Samal, Jordan R. Green, University of Nebraska-Lincoln, United States; Frank Rudzicz, University of Toronto, Canada
SLP-L2.6: OFF-POLICY LEARNING IN LARGE-SCALE POMDP-BASED DIALOGUE SYSTEMS
Lucie Daubigney, Matthieu Geist, Olivier Pietquin, Supélec, France
SLP-P1.1: CACHE NEURAL NETWORK LANGUAGE MODELS BASED ON LONG-DISTANCE DEPENDENCIES FOR A SPOKEN DIALOG SYSTEM
Francisco Zamora-Martinez, Salvador España-Boquera, María José Castro-Bleda, Universitat Politècnica de València, Spain; Renato De-Mori, Université d'Avignon, France
SLP-P1.2: MULTI-OBJECTIVE OPTIMIZATION FOR SEMI-SUPERVISED DISCRIMINATIVE LANGUAGE MODELING
Akio Kobayashi, Takahiro Oku, Toru Imai, NHK Science and Technology Research Laboratories, Japan; Seiichi Nakagawa, Toyohashi University of Technology, Japan
SLP-P1.3: HALLUCINATED N-BEST LISTS FOR DISCRIMINATIVE LANGUAGE MODELING
Kenji Sagae, University of Southern California, United States; Maider Lehr, Emily Prud'hommeaux, Oregon Health and Science University, United States; Puyang Xu, The Johns Hopkins University, United States; Nathan Glenn, Brigham Young University, United States; Damianos Karakos, Sanjeev Khudanpur, The Johns Hopkins University, United States; Brian Roark, Oregon Health and Science University, United States; Murat Saraçlar, Bogaziçi University, Turkey; Izhak Shafran, Oregon Health and Science University, United States; Daniel Bikel, Google, Inc., United States; Chris Callison-Burch, Yuan Cao, The Johns Hopkins University, United States; Keith Hall, Google, Inc., United States; Eva Hasler, Philipp Koehn, University of Edinburgh, United Kingdom; Adam Lopez, Matt Post, The Johns Hopkins University, United States; Darcey Riley, University of Rochester, United States
SLP-P1.4: PERFORMANCE ANALYSIS OF NEURAL NETWORKS IN COMBINATION WITH N-GRAM LANGUAGE MODELS
Ilya Oparin, LIMSI CNRS, France; Martin Sundermeyer, Hermann Ney, RWTH Aachen University, Germany; Jean-Luc Gauvain, LIMSI CNRS, France
SLP-P1.5: DISCRIMINATIVE APPROACH TO LEXICAL ENTRY SELECTION FOR AUTOMATIC SPEECH RECOGNITION OF AGGLUTINATIVE LANGUAGE
Mijit Ablimit, Tatsuya Kawahara, School of Informatics, Kyoto University, Kyoto, Japan, Japan; Askar Hamdulla, Xinjiang University, China
SLP-P1.6: CONDITIONAL LEAVING-ONE-OUT AND CROSS-VALIDATION FOR DISCOUNT ESTIMATION IN KNESER-NEY-LIKE EXTENSIONS
Jesús Andrés-Ferrer, Universidad Politécnica de Valencia, Spain; Martin Sundermeyer, Hermann Ney, RWTH Aachen University, Germany
SLP-P1.7: DISTRIBUTED DISCRIMINATIVE LANGUAGE MODELS FOR GOOGLE VOICE-SEARCH
Preethi Jyothi, The Ohio State University, United States; Leif Johnson, The University of Texas at Austin, United States; Ciprian Chelba, Brian Strope, Google, Inc., United States
SLP-P1.8: INVESTIGATIONS ON THE USE OF MORPHEME LEVEL FEATURES IN LANGUAGE MODELS FOR ARABIC LVCSR
Amr Mousa, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SLP-P1.9: SEMI-SUPERVISED DISCRIMINATIVE LANGUAGE MODELING FOR TURKISH ASR
Arda Çelebi, Hasim Sak, Erinç Dikici, Murat Saraçlar, Bogaziçi University, Turkey; Maider Lehr, Emily Tucker Prud'hommeaux, Oregon Health and Science University, United States; Puyang Xu, The Johns Hopkins University, United States; Nathan Glenn, Brigham Young University, United Kingdom; Damianos Karakos, Sanjeev Khudanpur, The Johns Hopkins University, United States; Brian Roark, Oregon Health and Science University, United States; Kenji Sagae, University of Southern California, United States; Izhak Shafran, Oregon Health and Science University, United States; Daniel Bikel, Google, Inc., United States; Chris Callison-Burch, Yuan Cao, The Johns Hopkins University, United States; Keith Hall, Google, Inc., United States; Eva Hasler, Philipp Koehn, University of Edinburgh, United Kingdom; Adam Lopez, Matt Post, The Johns Hopkins University, United States; Darcey Riley, University of Rochester, United States
SLP-P1.10: UNSUPERVISED CV LANGUAGE MODEL ADAPTATION BASED ON DIRECT LIKELIHOOD MAXIMIZATION SENTENCE SELECTION
Takahiro Shinozaki, Yasuo Horiuchi, Shingo Kuroiwa, Chiba University, Japan
SLP-P1.11: HANDLING UNCERTAIN OBSERVATIONS IN UNSUPERVISED TOPIC-MIXTURE LANGUAGE MODEL ADAPTATION
Ekapol Chuangsuwanich, Massachusetts Institute of Technology, United States; Shinji Watanabe, Hori Takaaki, Tomoharu Iwata, NTT Corporation, Japan; James Glass, Massachusetts Institute of Technology, United States
SLP-P1.12: CONTEXT INDUCED MERGING OF SYNONYMOUS WORD MODELS IN COMPUTATIONAL MODELING OF EARLY LANGUAGE ACQUISITION
Okko Räsänen, Aalto University, Finland
SLP-P2.1: UNSUPERVISED TWO-STAGE KEYWORD EXTRACTION FROM SPOKEN DOCUMENTS BY TOPIC COHERENCE AND SUPPORT VECTOR MACHINE
Yun-Nung Chen, Carnegie Mellon University, United States; Yu Huang, Hung-Yi Lee, Lin-Shan Lee, National Taiwan University, Taiwan
SLP-P2.2: TOWARDS DEEPER UNDERSTANDING: DEEP CONVEX NETWORKS FOR SEMANTIC UTTERANCE CLASSIFICATION
Gokhan Tur, Li Deng, Dilek Hakkani-Tür, Xiaodong He, Microsoft Corporation, United States
SLP-P2.3: IMPROVED APPROACHES OF MODELING AND DETECTING ERROR PATTERNS WITH EMPIRICAL ANALYSIS FOR COMPUTER-AIDED PRONUNCIATION TRAINING
Yow-Bang Wang, Lin-Shan Lee, National Taiwan University, Taiwan
SLP-P2.4: CONSTRUCTING EFFECTIVE RANKING MODELS FOR SPEECH SUMMARIZATION
Yueng-Tien Lo, National Taiwan Normal University, Taiwan; Shih-Hsiang Lin, Delta Electronics, Inc., Taiwan; Berlin Chen, National Taiwan Normal University, Taiwan
SLP-P2.5: AUTOMATIC SPEAKER ROLE LABELING IN AMI MEETINGS: RECOGNITION OF FORMAL AND SOCIAL ROLES
Ashtosh Sapru, Fabio Valente, IDIAP Research Institute, Switzerland
SLP-P2.6: UNSUPERVISED MODELING OF USER ACTIONS IN A DIALOG CORPUS
Donghyeon Lee, Minwoo Jeong, Kyungduk Kim, Gary Geunbae Lee, Pohang University of Science and Technology, Republic of Korea
SLP-P2.7: UTTERANCE-LEVEL LATENT TOPIC TRANSITION MODELING FOR SPOKEN DOCUMENTS AND ITS APPLICATION IN AUTOMATIC SUMMARIZATION
Hung-Yi Lee, Yun-Nung Chen, Lin-Shan Lee, Graduate Institute of Communication Engineering, National Taiwan University, Taiwan
SLP-P2.8: IMPROVEMENTS IN PREDICTING CHILDREN'S OVERALL READING ABILITY BY MODELING VARIABILITY IN EVALUATORS' SUBJECTIVE JUDGMENTS
Matthew Black, Shrikanth Narayanan, University of Southern California, United States
SLP-P2.9: TOPIC IDENTIFICATION BASED EXTRINSIC EVALUATION OF SUMMARIZATION TECHNIQUES APPLIED TO CONVERSATIONAL SPEECH
David Harwath, Timothy Hazen, MIT Lincoln Laboratory, United States
SLP-P2.10: DETECTING PERSON PRESENCE IN TV SHOWS WITH LINGUISTIC AND STRUCTURAL FEATURES
Frederic Bechet, Benoit Favre, Aix-Marseille Univ, France; Géraldine Damnati, France Telecom, France
SLP-P2.11: DYNAMIC BAYESIAN SOCIO-SITUATIONAL SETTING CLASSIFICATION
Yangyang Shi, Pascal Wiggers, Catholijn Jonker, Delft University of Technology, Netherlands
SLP-P2.12: SEMANTIC QUERY EXPANSION AND CONTEXT-BASED DISCRIMINATIVE TERM MODELING FOR SPOKEN DOCUMENT RETRIEVAL
Tsung-Wei Tu, Hung-Yi Lee, Yu-Yu Chou, Lin-Shan Lee, National Taiwan University, Taiwan
SLP-P3.1: AUTOMATIC DETECTION OF CONFLICTS IN SPOKEN CONVERSATIONS: RATINGS AND ANALYSIS OF BROADCAST POLITICAL DEBATES
Samuel Kim, Fabio Valente, IDIAP Research Institute, Switzerland; Alessandro Vinciarelli, University of Glasgow, United Kingdom
SLP-P3.2: CAN PROSODY INFORM SENTIMENT ANALYSIS? EXPERIMENTS ON SHORT SPOKEN REVIEWS
Francois Mairesse, Joseph Polifroni, Nokia, United States; Giuseppe Di Fabbrizio, AT&T, United States
SLP-P3.3: AUDIOVISUAL VOCAL OUTBURST CLASSIFICATION IN NOISY ACOUSTIC CONDITIONS
Florian Eyben, Technische Universität München, Germany; Stavros Petridis, Imperial College London, United Kingdom; Björn Schuller, Technische Universität München, Germany; Maja Pantic, Imperial College London, United Kingdom
SLP-P3.4: SPEAKER VARIABILITY IN EMOTION RECOGNITION – AN ADAPTATION BASED APPROACH
Ni Ding, Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah, The University of New South Wales, Australia
SLP-P3.5: DETECTING LEADERSHIP AND COHESION IN SPOKEN INTERACTIONS
Wen Wang, Kristin Precoda, Raia Hadsell, Zsolt Kira, Colleen Richey, Gabriel Jiva, SRI International, United States
SLP-P3.6: NEGATIVE EMOTIONS DETECTION AS AN INDICATOR OF DIALOGS QUALITY IN CALL CENTERS
Christophe Vaudable, Laurence Devillers, LIMSI-CNRS, France
SLP-P3.7: UNSUPERVISED TOPIC MODELING FOR LEADER DETECTION IN SPOKEN DISCOURSE
Raia Hadsell, Zsolt Kira, Wen Wang, Kristin Precoda, SRI International, United States
SLP-P3.8: A PERSONALIZED EMOTION RECOGNITION SYSTEM USING AN UNSUPERVISED FEATURE ADAPTATION SCHEME
Tauhidur Rahman, Carlos Busso, The University of Texas at Dallas, United States
SLP-P3.9: ACOUSTIC TEXTTILING FOR STORY SEGMENTATION OF SPOKEN DOCUMENTS
Lilei Zheng, Northwestern Polytechnical University, China; Cheung-Chi Leung, Institute for Infocomm Research, Singapore; Lei Xie, Northwestern Polytechnical University, China; Bin Ma, Haizhou Li, Institute for Infocomm Research, Singapore
SLP-P3.10: KOLMOGOROV-SMIRNOV TEST FOR FEATURE SELECTION IN EMOTION RECOGNITION FROM SPEECH
Alexei Ivanov, Giuseppe Riccardi, University of Trento, Italy
SLP-P3.11: DETECTING TARGETS OF ALIGNMENT MOVES IN MULTIPARTY DISCUSSIONS
Alex Marin, Wei Wu, Bin Zhang, Mari Ostendorf, University of Washington, United States
SLP-P3.12: IMPROVEMENT OF ANIMATED ARTICULATORY GESTURE EXTRACTED FROM SPEECH FOR PRONUNCIATION TRAINING
Yurie Iribe, Silasak Manosavan, Kouichi Katsurada, Toyohashi University of Technology, Japan; Ryoko Hayashi, Chunyue Zhu, Kobe University, Japan; Tsuneo Nitta, Toyohashi University of Technology, Japan
SLP-P4.1: FAST WORD ACQUISITION IN AN NMF-BASED LEARNING FRAMEWORK
Joris Driesen, Hugo Van hamme, Katholieke Universiteit Leuven, Belgium
SLP-P4.2: END-TO-END SPEECH RECOGNITION ACCURACY METRIC FOR VOICE-SEARCH TASKS
Michael Levit, Shuangyu Chang, Bruce Buntschuh, Nick Kibre, Microsoft Corporation, United States
SLP-P4.3: WEAKLY SUPERVISED KEYWORD LEARNING USING SPARSE REPRESENTATIONS OF SPEECH
Joris Driesen, Jort Gemmeke, Hugo Van hamme, Katholieke Universiteit Leuven, Belgium
SLP-P4.4: JAPANESE AND KOREAN VOICE SEARCH
Mike Schuster, Kaisuke Nakajima, Google, Inc., United States
SLP-P4.5: SPOKEN DOCUMENT RETRIEVAL BY DISCRIMINATIVE MODELING IN A HIGH DIMENSIONAL FEATURE SPACE
Takanobu Oba, Takaaki Hori, Atsushi Nakamura, NTT Corporation, Japan; Akinori Ito, Tohoku University, Japan
SLP-P4.6: AN ACOUSTIC SEGMENT MODELING APPROACH TO QUERY-BY-EXAMPLE SPOKEN TERM DETECTION
Haipeng Wang, DSP and Speech Technology Laboratory, Hong Kong SAR of China; Cheung-Chi Leung, Human Language Technology Department, Singapore; Tan Lee, DSP and Speech Technology Laboratory, Hong Kong SAR of China; Bin Ma, Haizhou Li, Human Language Technology Department, Singapore
SLP-P4.7: RESOURCE CONFIGURABLE SPOKEN QUERY DETECTION USING DEEP BOLTZMANN MACHINES
Yaodong Zhang, Massachusetts Institute of Technology, United States; Ruslan Salakhutdinov, University of Toronto, Canada; Hung-An Chang, James Glass, Massachusetts Institute of Technology, United States
SLP-P4.8: THE SPOKEN WEB SEARCH TASK AT MEDIAEVAL 2011
Florian Metze, Carnegie Mellon University, United States; Nitendra Rajput, IBM Research - India, India; Xavier Anguera, Telefonica Research, Spain; Marelie Davel, North-West University, South Africa; Guillaume Gravier, IRISA/ INRIA, France; Charl van Heerden, North-West University, South Africa; Gautam V. Mantena, IIIT Hyderabad, India; Armando Muscariello, IRISA/ INRIA, France; Kishore Prahallad, IIIT Hyderabad, India; Igor Szöke, Brno University of Technology, Czech Republic; Javier Tejedor, Universidad Autonoma de Madrid, Spain
SLP-P4.9: FACILITATING OPEN VOCABULARY SPOKEN TERM DETECTION USING A MULTIPLE PASS HYBRID SEARCH ALGORITHM
Atta Norouzian, Richard Rose, McGill University, Canada
SLP-P4.10: FAST SPOKEN QUERY DETECTION USING LOWER-BOUND DYNAMIC TIME WARPING ON GRAPHICAL PROCESSING UNITS
Yaodong Zhang, Kiarash Adl, James Glass, Massachusetts Institute of Technology, United States
SLP-P4.11: TRI-FACTORIZATION LEARNING OF SUB-WORD UNITS WITH APPLICATION TO VOCABULARY ACQUISITION
Meng Sun, Hugo Van hamme, Katholieke Universiteit Leuven, Belgium
SLP-P4.12: DETECTION OF UNSEEN WORDS IN CONVERSATIONAL MANDARIN
Ivan Bulyko, Owen Kimball, Man-Hung Siu, Jose Herrero, Dan Blum, Raytheon BBN Technologies, United States
SS-L1.1: THE POWER GAME BETWEEN A MIMO RADAR AND JAMMER
Xiufeng Song, Peter Willett, Shengli Zhou, Peter Luh, University of Connecticut, United States
SS-L1.2: ORDERING FOR ENERGY EFFICIENT COMMUNICATIONS FOR NONCOHERENT MIMO RADAR NETWORKS
Qian He, University of Electronic Science and Technology of China, China; Rick Blum, Ziad Rawas, Lehigh University, United States
SS-L1.3: PRICE THEORY FRAMEWORK FOR TARGET TRACKING USING MULTI-MODAL SENSORS
Phani Chavali, Arye Nehorai, Washington University in St. Louis, United States
SS-L1.4: CRAMÉR-RAO BOUNDS AND THEIR APPLICATION TO SENSOR SELECTION
Pietro Stinco, Maria Greco, Fulvio Gini, University of Pisa, Italy; Alfonso Farina, Selex - Sistemi Integrati, Italy
SS-L1.5: TARGET VELOCITY ESTIMATION WITH DISTRIBUTED MIMO RADAR USING MULTIPLE PULSE REPETITION FREQUENCIES
Tuomas Aittomäki, Visa Koivunen, Aalto University, Finland
SS-L1.6: ESTIMATION PERFORMANCE AND RESOURCE SAVINGS: TRADEOFFS IN MULTIPLE RADARS SYSTEMS
Hana Godrich, Princeton University, United States; Athina Petropulu, Rutgers University, United States; H. Vincent Poor, Princeton University, United States
SS-L2.1: RECEIVER-COORDINATED DISTRIBUTED TRANSMIT BEAMFORMING WITH KINEMATIC TRACKING
Donald R. Brown, Worcester Polytechnic Institute, United States; Patrick Bidigare, Raytheon BBN Technologies, United States; Upamanyu Madhow, University of California at Santa Barbara, United States
SS-L2.2: SCALABLE FEEDBACK ALGORITHMS FOR DISTRIBUTED TRANSMIT BEAMFORMING IN WIRELESS NETWORKS
Raghuraman Mudumbai, University of Iowa, United States; Patrick Bidigare, Scott Pruessing, Raytheon BBN Technologies, United States; Soura Dasgupta, University of Iowa, United States; Miguel Oyarzun, David Raeman, Raytheon BBN Technologies, United States
SS-L2.3: NETWORK LOCALIZATION FOR DISTRIBUTED TRANSMIT BEAM FORMING WITH MOBILE RADIOS
Troy Stevens, Keith Kastella, SRI International, United States
SS-L2.4: TRANSMIT AND RECEIVE SPACE-TIME-FREQUENCY ADAPTIVE PROCESSING FOR COOPERATIVE DISTRIBUTED MIMO COMMUNICATIONS
Dan Bliss, Shawn Kraut, MIT Lincoln Laboratory, United States; Ameya Agaskar, Harvard University, United States
SS-L2.5: FUNDAMENTAL LIMITS ON PHASE AND FREQUENCY TRACKING AND ESTIMATION IN DRIFTING OSCILLATORS
Donald R. Brown, Worcester Polytechnic Institute, United States; Raghuraman Mudumbai, Soura Dasgupta, University of Iowa, United States
SS-L2.6: ATTAINING FUNDAMENTAL BOUNDS ON TIMING SYNCHRONIZATION
Patrick Bidigare, Raytheon BBN Technologies, United States; Upamanyu Madhow, University of California at Santa Barbara, United States; Raghuraman Mudumbai, University of Iowa, United States; Dzul Scherber, Raytheon BBN Technologies, United States
SS-L3.1: OVERVIEW OF LARGE SCALE OPTIMIZATION FOR DISCRIMINATIVE TRAINING IN SPEECH RECOGNITION
Dimitri Kanevsky, IBM, United States; Georg Heigold, Google, Inc., United States; Stephen Wright, University of Wisconsin, United States; Hermann Ney, RWTH Aachen University, United States
SS-L3.2: SECOND-ORDER METHODS FOR L1 REGULARIZED PROBLEMS IN MACHINE LEARNING
Samantha Hansen, Jorge Nocedal, Northwestern University, United States
SS-L3.3: OPTIMIZATION IN SPEECH-CENTRIC INFORMATION PROCESSING: CRITERIA AND TECHNIQUES
Xiaodong He, Li Deng, Microsoft Research, United States
SS-L3.4: ROBUST INVERSION VIA SEMISTOCHASTIC DIMENSIONALITY REDUCTION
Aleksandr Aravkin, Michael Friedlander, Tristan van Leeuwen, University of British Columbia, Canada
SS-L3.5: UNSCENTED COMPRESSED SENSING
Avishy Carmi, Nanyang Technological University, Singapore; Lyudmila Mihaylova, University of Lancaster, United Kingdom; Dimitri Kanevsky, IBM T.J. Watson Research Center, United States
SS-L3.6: FULLY BAYESIAN INFERENCE OF MULTI-MIXTURE GAUSSIAN MODEL AND ITS EVALUATION USING SPEAKER CLUSTERING
Naohiro Tawara, Waseda University, Japan; Tetsuji Ogawa, Waseda Institute for Advanced Study, Japan; Shinji Watanabe, NTT Communication Science Laboratories, Japan; Tetsunori Kobayashi, Waseda University, Japan
SS-L4.1: QUICKEST TIME CHANGE DETECTION WITH SOCIAL LEARNING
Vikram Krishnamurthy, University of British Columbia, Canada
SS-L4.2: AN INFORMATION-GEOMETRIC APPROACH TO SENSOR MANAGEMENT
Bill Moran, University of Melbourne, Australia; Stephen D. Howard, Defence Science and Technology Organisation, Australia; Douglas Cochran, Arizona State University, United States
SS-L4.3: STRUCTURE OF OPTIMAL POLICIES IN ACTIVE SENSING
Aditya Mahajan, McGill University, Canada
SS-L4.4: ADAPTIVE COMPRESSIVE SAMPLING USING PARTIALLY OBSERVABLE MARKOV DECISION PROCESSES
Ramin Zahedi, Lucas W. Krakow, Edwin K. P. Chong, Ali Pezeshki, Colorado State University, United States
SS-L4.5: SENSOR MANAGEMENT AND PROVISIONING FOR MULTIPLE TARGET RADAR TRACKING SYSTEMS
Gregory Newstadt, University of Michigan, United States; Alfred O. Hero III, University of Michigan at Ann Arbor, United States
SS-L4.6: CONTROLLED SENSING FOR HYPOTHESIS TESTING
Sirin Nitinawarat, George K. Atia, Venugopal V. Veeravalli, University of Illinois at Urbana-Champaign, United States
SS-L5.1: SYSTEM-DRIVEN METRICS FOR THE DESIGN AND ADAPTATION OF ANALOG TO DIGITAL CONVERTERS
Rajan Narasimha, Texas Instruments, Inc., United States; Georg Zeitler, Technische Universitaet Muenchen, Germany; Naresh Shanbhag, Andrew C. Singer, University of Illinois at Urbana-Champaign, United States; Gerhard Kramer, Technische Universitaet Muenchen, Germany
SS-L5.2: ENABLING SYSTEM-LEVEL PLATFORM RESILIENCE THROUGH EMBEDDED DATA-DRIVEN INFERENCE CAPABILITIES IN ELECTRONIC DEVICES
Naveen Verma, Kyong Ho Lee, Kuk Jin Jang, Princeton University, United States; Ali Shoeb, Massachusetts General Hospital, now with WeatherBill, United States
SS-L5.3: A FULLY AUTOMATED TECHNIQUE FOR CONSTRUCTING FSM ABSTRACTIONS OF NON-IDEAL LATCHES IN COMMUNICATION SYSTEMS
Karthik Aadithya, University of California at Berkeley, United States; Yingyan Lin, UIUC, United States; Chenjie Gu, University of California at Berkeley, United States; Aolin Xu, UIUC, United States; Jaijeet Roychowdhury, University of California at Berkeley, United States; Naresh Shanbhag, UIUC, United States
SS-L5.4: AN ANALOG ADAPTIVE BEAMFORMING CIRCUIT FOR AUDIO NOISE REDUCTION
Jeff Dugger, Georgia Institute of Technology, United States; Paul D. Smith, Matt Kucic, Texas Instruments, Inc., United States; Paul Hasler, Georgia Institute of Technology, United States
SS-L5.5: DIGITAL COMPENSATION OF SAMPLING INSTANT ERRORS IN THE TRACK-AND-HOLD PORTION OF AN ADC
Kun Shi, Arthur Redfern, 12500 TI Blvd, United States
SS-L5.6: FPAA EMPOWERING COOPERATIVE ANALOG-DIGITAL SIGNAL PROCESSING
Craig Schlottmann, Paul Hasler, Georgia Institute of Technology, United States
SS-L6.1: TOWARDS AN INTEGRATED CIRCUIT DESIGN OF A COMPRESSSED SAMPLING WIRELESS RECEIVER
Douglas Adams, Stanford University, United States; Chester Park, Ericsson Inc., United States; Yonina C. Eldar, Technion – Israel Institute of Technology, Israel; Boris Murmann, Stanford University, United States
SS-L6.2: PERFORMANCE TRADE-OFFS AND DESIGN LIMITATIONS OF ANALOG-TO-INFORMATION CONVERTER FRONT-ENDS
Omid Abari, Fred Chen, Fabian Lim, Vladimir Stojanovic, Massachusetts Institute of Technology, United States
SS-L6.3: A BIT-CONSTRAINED SAR ADC FOR COMPRESSIVE ACQUISITION OF FREQUENCY SPARSE SIGNALS
Andrew Waters, Rice University, United States; Charles Sestok, Texas Instruments, Inc., United States; Richard Baraniuk, Rice University, United States
SS-L6.4: ANALOG COMPRESSED SENSING FOR RF PROPAGATION CHANNEL SOUNDING
Jonathan Tamir, Theodore Rappaport, The University of Texas at Austin, United States; Yonina C. Eldar, Technion – Israel Institute of Technology, Israel; Ahsan Aziz, National Instruments, United States
SS-L6.5: AN ANALOG SUB-LINEAR TIME SPARSE SIGNAL ACQUISITION FRAMEWORK BASED ON STRUCTURED MATRICES
Juhwan Yoo, Amin Khajehnejad, Babak Hassibi, Azita Emami-Neyestanak, California Institute of Technology, United States
SS-L6.6: DESIGN AND IMPLEMENTATION OF A FULLY INTEGRATED COMPRESSED-SENSING SIGNAL ACQUISITION SYSTEM
Juhwan Yoo, Stephen Becker, Manuel Monge, Matthew Loh, California Institute of Technology, United States; Emmanuel Candes, Stanford University, United States; Azita Emami, California Institute of Technology, United States
SS-L7.1: A SCALABLE SIGNAL PROCESSING ARCHITECTURE FOR MASSIVE GRAPH ANALYSIS
Benjamin A. Miller, Nicholas Arcolano, Michelle S. Beard, Jeremy Kepner, Matthew C. Schmidt, Nadya T. Bliss, MIT Lincoln Laboratory, United States; Patrick J. Wolfe, Harvard University, United States
SS-L7.2: DISTINGUISHING SIGNAL FROM NOISE IN AN SVD OF SIMULATION DATA
Paul G. Constantine, Stanford University, United States; David F. Gleich, Purdue University, United States
SS-L7.3: ANALYSIS OF STREAMING SOCIAL NETWORKS AND GRAPHS ON MULTICORE ARCHITECTURES
Jason Riedy, Georgia Institute of Technology, United States; Henning Meyerhenke, Karlsruhe Institute of Technology, Germany; David A. Bader, David Ediger, Georgia Institute of Technology, United States; Timothy Mattson, Intel Corporation, United States
SS-L7.4: PEGASUS: MINING BILLION-SCALE GRAPHS IN THE CLOUD
U Kang, Duen Horng Chau, Christos Faloutsos, Carnegie Mellon University, United States
SS-L7.5: SCALABLE COMPLEX GRAPH ANALYSIS WITH THE KNOWLEDGE DISCOVERY TOOLBOX
Adam Lugowski, University of California at Santa Barbara, United States; Aydin Buluç, Lawrence Berkeley National Lab, United States; John R. Gilbert, University of California at Santa Barbara, United States; Steve Reinhardt, Microsoft Corporation, United States
SS-L7.6: DYNAMIC DISTRIBUTED DIMENSIONAL DATA MODEL (D4M) DATABASE AND COMPUTATION SYSTEM
Jeremy Kepner, William Arcand, William Bergeron, Nadya T. Bliss, Robert Bond, Chansup Byun, Gary Condon, Kenneth Gregson, Matthew Hubbell, Jonathan Kurz, Andrew McCabe, Peter Michaleas, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, MIT Lincoln Laboratory, United States
SS-L8.1: UNSUPERVISED MUSIC UNDERSTANDING BASED ON NONPARAMETRIC BAYESIAN MODELS
Kazuyoshi Yoshii, Masataka Goto, National Institute of Advanced Industrial Science and Technology (AIST), Japan
SS-L8.2: PROBABILISTIC MODEL FOR MAIN MELODY EXTRACTION USING CONSTANT-Q TRANSFORM
Benoit Fuentes, Antoine Liutkus, Roland Badeau, Gaël Richard, Télécom ParisTech, France
SS-L8.3: POISSON-UNIFORM NONNEGATIVE MATRIX FACTORIZATION
Matthew Hoffman, Columbia University, United States
SS-L8.4: CONSTRAINED AND REGULARIZED VARIANTS OF NON-NEGATIVE MATRIX FACTORIZATION INCORPORATING MUSIC-SPECIFIC CONSTRAINTS
Hirokazu Kameoka, The University of Tokyo / NTT Corporation, Japan; Masahiro Nakano, NTT Corporation, Japan; Kazuki Ochiai, Yutaka Imoto, The University of Tokyo, Japan; Kunio Kashino, NTT Corporation, Japan; Shigeki Sagayama, The University of Tokyo, Japan
SS-L8.5: SCORE GUIDED AUDIO RESTORATION VIA GENERALISED COUPLED TENSOR FACTORISATION
Umut Simsekli, Y. Kenan Yilmaz, Ali Taylan Cemgil, Bogaziçi University, Turkey
SS-L8.6: FOLLOWING MUSICAL SOURCES BY EXAMPLE
Paris Smaragdis, University of Illinois at Urbana-Champaign, United States; Gautham J. Mysore, Adobe Systems Inc., United States
SS-L9.1: PITCH ADAPTIVE TRAINING FOR HMM-BASED SINGING VOICE SYNTHESIS
Keiichiro Oura, Ayami Mase, Yoshihiko Nankaku, Keiichi Tokuda, NITech, Japan
SS-L9.2: ANALYSIS AND MODIFICATION OF EXCITATION SOURCE CHARACTERISTICS FOR SINGING VOICE SYNTHESIS
Axel Roebel, Stefan Huber, Xavier Rodet, IRCAM-CNRS-UPMC STMS, France; Gilles Degottex, University of Crete, Greece
SS-L9.3: SINGING SYNTHESIS AS A NEW MUSICAL INSTRUMENT
Hideki Kenmochi, Yamaha Corporation, Japan
SS-L9.4: ANALYSIS AND SYNTHESIS OF STRONG VOCAL EXPRESSIONS: EXTENSION AND APPLICATION OF AUDIO TEXTURE FEATURES TO SINGING VOICE
Hideki Kawahara, Wakayama University, Japan; Masanori Morise, Ritsumeikan University, Japan
SS-L9.5: VOCALISTENER AND VOCAWATCHER: IMITATING A HUMAN SINGER BY USING SIGNAL PROCESSING
Masataka Goto, Tomoyasu Nakano, Shuuji Kajita, Yosuke Matsusaka, Shin'ichiro Nakaoka, Kazuhito Yokoi, National Institute of Advanced Industrial Science and Technology (AIST), Japan
SS-L10.1: PHYSICS-DRIVEN STRUCTURED COSPARSE MODELING FOR SOURCE LOCALIZATION
Sangnam Nam, Rémi Gribonval, INRIA Rennes, France
SS-L10.2: ANALYSIS-BASED SPARSE RECONSTRUCTION WITH SYNTHESIS-BASED SOLVERS
Nicolae Cleju, Technical University Gheorghe Asachi of Iasi, Romania; Maria G. Jafari, Mark D. Plumbley, Queen Mary University of London, United Kingdom
SS-L10.3: K-SVD DICTIONARY-LEARNING FOR THE ANALYSIS SPARSE MODEL
Ron Rubinstein, Tomer Faktor, Michael Elad, Technion – Israel Institute of Technology, Israel
SS-L10.4: NOISE AWARE ANALYSIS OPERATOR LEARNING FOR APPROXIMATELY COSPARSE SIGNALS
Mehrdad Yaghoobi, University of Edinburgh, United Kingdom; Sangnam Nam, Rémi Gribonval, INRIA, France; Michael E. Davies, University of Edinburgh, United Kingdom
SS-L10.5: LIGHT FIELD COMPRESSIVE SENSING IN CAMERA ARRAYS
Mahdad Hosseini Kamal, Mohammad Golbabaee, Pierre Vandergheynst, École Polytechnique Fédérale de Lausanne, Switzerland
SS-L11.1: DEPTH SENSING USING ACTIVE COHERENT ILLUMINATION
Petros T. Boufounos, Mitsubishi Electric Research Laboratories, United States
SS-L11.2: CLOUD-BASED DEPTH SENSING QUALITY FEEDBACK FOR INTERACTIVE 3D RECONSTRUCTION
Kar-Han Tan, John Apostolopoulos, Hewlett-Packard Laboratories, United States
SS-L11.3: CODAC: A COMPRESSIVE DEPTH ACQUISITION CAMERA FRAMEWORK
Ahmed Kirmani, Andrea Colaco, Franco Wong, Vivek Goyal, Massachusetts Institute of Technology, United States
SS-L11.4: 3D SCENE RECONSTRUCTION BY MULTIPLE STRUCTURED-LIGHT BASED COMMODITY DEPTH CAMERAS
Jianfeng Wang, University of Science and Technology of China, China; Cha Zhang, Wenwu Zhu, Zhengyou Zhang, Microsoft Research, United States; Zixiang Xiong, Texas A&M University, United States; Philip A. Chou, Microsoft Research, United States
SS-L11.5: WEIGHTED MODE FILTERING AND ITS APPLICATIONS TO DEPTH VIDEO ENHANCEMENT AND CODING
Dongbo Min, Jiangbo Lu, Viet-Anh Nguyen, Advanced Digital Sciences Center, Singapore; Minh Do, University of Illinois at Urbana-Champaign, United States
SS-L11.6: IMAGE BASED RENDERING WITH DEPTH CAMERAS: HOW MANY ARE NEEDED?
Christopher Gilliam, James Pearson, Mike Brookes, Pier Luigi Dragotti, Imperial College London, United Kingdom
SS-L12.1: FTV (FREE-VIEWPOINT TELEVISION) FOR RAY AND SOUND REPRODUCING IN 3D SPACE
Masayuki Tanimoto, Nagoya University, Japan
SS-L12.2: 3D SPATIAL RECONSTRUCTION AND COMMUNICATION FROM VISION FIELD
Xun Cao, Qifei Wang, Xiangyang Ji, Qionghai Dai, Tsinghua University, China
SS-L12.3: THREE-DIMENSIONAL TELEVISION SYSTEM BASED ON SPATIAL IMAGING METHOD USING INTEGRAL PHOTOGRAPHY
Jun Arai, NHK, Japan
SS-L12.4: INTERACTIVE ELECTRONIC HOLOGRAPHY AND 300-CAMERA ARRAY IN DENSE ARRANGEMENT
Kenji Yamamoto, Yasuyuki Ichihashi, Takanori Senoh, Ryutaro Oi, Taiichiro Kurita, National Institute of Information and Communications Technology, Japan
SS-L12.5: TELESCOPIC MICROPHONE ARRAY USING REFLECTOR FOR SEGREGATING TARGET SOURCE FROM NOISES IN SAME DIRECTION
Kenta Niwa, Yusuke Hioka, Sumitaka Sakauchi, Ken'ichi Furuya, Yoichi Haneda, NTT Cyber Space Laboratories, Japan