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Technical Session -  SSAP11   
 
Session SSAP11:    Markov Models in SP   (Lecture)
Time and Place:    Thursday, May 14,  3:30 pm - 5:30 pm,  Room 602/603
Chair:    P. Djuric (State University of New York, Stony Brook, USA)
 
 
3:30 pm    SSAP11.1
Efficient Multiscale Stochastic Realization
A. Frakt, A. Willsky  (MIT, USA);  
[abstract] [manuscript]
 
3:45 pm    SSAP11.2
Fast, Non-Iterative Estimation of Hidden Markov Models
H. Hjalmarsson  (S3-Automatic Control, KTH, Stockholm, Sweden);   B. Ninness  (University of Newcastle, Australia);  
[abstract] [manuscript]
 
4:00 pm    SSAP11.3
A Reversible Jump Sampler for Autoregressive Time Series
P. Troughton, S. Godsill  (University of Cambridge, England, UK);  
[abstract] [manuscript]
 
4:15 pm    SSAP11.4
A New Maximum Likelihood Gradient Algorithm for On-Line Hidden Markov Model Identification
I. Collings  (University of Melbourne, Australia);   T. Ryden  (Lund University, Sweden);  
[abstract] [manuscript]
 
4:30 pm    SSAP11.5
Quasi-Newton Method for Maximum Likelihood Estimation of Hidden Markov Model
O. Cappé  (ENST / CNRS, France);   V. Buchoux  (ENST / CNET, France);   E. Moulines  (ENST / CNRS, France);  
[abstract] [manuscript]
 
4:45 pm    SSAP11.6
Detection and Estimation of Signals by Reversible Jump Markov Chain Monte Carlo Computations
P. Djuric  (SUNY, Stony Brook, USA);   S. Godsill, W. Fitzgerald, P. Rayner  (University of Cambridge, UK);  
[abstract] [manuscript]
 
5:00 pm    SSAP11.7
Modeling and Detection in Hyperspectral Imagery
S. Schweizer, J. Moura  (Carnegie Mellon University, USA);  
[abstract] [manuscript]
 
5:15 pm    SSAP11.8
Simplified Wavelet-domain Hidden Markov Models Using Contexts
M. Crouse, R. Baraniuk  (Rice University, USA);  
[abstract] [manuscript]
 
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