MCMC joint separation and segmentation of hidden Markov fields

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn 2002-January, Issue , 2002, Pages 485-494

  Snoussi, H ^a   Mohammad Djafari, A ^a  

^a CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COST FUNCTIONS; COVARIANCE MATRIX; MARKOV PROCESSES;

BAYESIAN FORMULATION; CLASSIFICATION LABELS; DATA AUGMENTATION; HIDDEN MARKOV FIELDS; MONTE CARLO MARKOV CHAIN; POSTERIOR DISTRIBUTIONS; STATIONARY REGIME; SYNTHETIC AND REAL DATA;

SIGNAL PROCESSING;

EID: 21744457517     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2002.1030060     Document Type: Conference Paper

References (12)

1. J. F. Cardoso, "Infomax and maximum likelihood for source separation", IEEE Letters on Signal Processing, vol. 4, pp. 112-114, avril 1997.
2. K. Knuth, "A Bayesian approach to source separation", in Proceedings of Independent Component Analysis Workshop, 1999, pp. 283-288.
3. A. Mohammad-Djafari, "A Bayesian approach to source separation", in Bayesian Inference and Maximum Entropy Methods, J. R. G. Erikson and C. Smith, Eds., Boise, IH, July 1999, MaxEnt Workshops, Amer. Inst. Physics.
4. N. Peyrard, "Convergence of MCEM and related algorithms for hidden markov random field", Research Report 4146, INRIA, 2001.
5. M. A. Tanner and W. H. Wong, "The calculation of posterior distributions by data augmentation", J. Amer. Statist. Assoc., vol. 82, no. 398, pp. 528-540, June 1987.
6. H. Snoussi and A. Mohammad-Djafari, "Bayesian separation of HMM sources", in Bayesian Inference and Maximum Entropy Methods. MaxEnt Workshops, August 2001, to appear in Amer. Inst. Physics.
7. C. Robert, Méthodes de Monte-Carlo par chaînes de Markov, Economica, Paris, France, 1996.
8. H. Snoussi and A. Mohammad-Djafari, "Bayesian source separation with mixture of gaussians prior for sources and gaussian prior for mixture coefficients", in Bayesian Inference and Maximum Entropy Methods, A. Mohammad-Djafari, Ed., Gif-sur-Yvette, France, July 2000, Proc. of MaxEnt, pp. 388-406, Amer. Inst. Physics.
9. R. E. Kass and L. Wasserman, "Formal rules for selecting prior distributions: A review and annotated bibliography", Technical report no. 583, Department of Statistics, Carnegie Mellon University, 1994.
10. G. E. P. Box and G. C. Tiao, Bayesian inference in statistical analysis, Addison-Wesley publishing, 1972.
11. O. Bermond, Méthodes statistiques pour la séparation de sources, Phd thesis, Ecole Nationale Supérieure des Télécommunications, 2000.
12. H. Snoussi and A. Mohammad-Djafari, "Penalized maximum likelihood for multivariate gaussian mixture", in Bayesian Inference and Maximum Entropy Methods. MaxEnt Workshops, August 2001, to appear in Amer. Inst. Physics.