Modèles de Markov triplets en restauration des signaux
Modèles de Markov triplets en restauration des signaux
Modèles de Markov triplets en restauration des signaux
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Bibliographie[1] C. Andrieu, M. Davy, and A. Doucet. Effici<strong>en</strong>t particle filtering for jumpmarkov systems. application to time-varing autoregressions. IEEE Trans. onSignal Process, 51(7) :1762–1770, 2003.[2] B. Annelies. Reconnaissance et compréh<strong>en</strong>sion <strong>de</strong>s gestes, applications à lalangue <strong>de</strong>s signes. PhD thesis, Paris 6, 1996.[3] J. K. Baker. The dragon system. IEEE Trans. on Acoustics Speech and SignalProcessing, 23(1) :24–29, 1975.[4] V. S. Barbu and N. Limnios. Semi-markov chains and hid<strong>de</strong>n semi-markovmo<strong>de</strong>ls toward applications. Their Use in Reliability and DNA Analysis, 191,2008.[5] L.E. Baum, T. Petrie, G. Soules, and N. Weiss. A maximization techniqueoccuring in the statistical analysis of probabilistic functions of markov chain.Ann. of Math. Statistics, 41 :164–171, 1970.[6] D. B<strong>en</strong>boudjema. Champs <strong>de</strong> <strong>Markov</strong> Triplets et segm<strong>en</strong>tation Baysi<strong>en</strong>ne nonsupervisée d’images. Optimisation et sûreté <strong>de</strong>s systèmes, Université <strong>de</strong> Technologie<strong>de</strong> Troyes-Institut National <strong>de</strong>s Télécommunications, 2005.[7] B. B<strong>en</strong>miloud and W. Pieczynski. Estimation <strong>de</strong>s paramètres dans les chaînes<strong>de</strong> markov cachées et segm<strong>en</strong>tation d’images. Traitem<strong>en</strong>t du Signal, 12(5) :433–454, 1995.[8] F. Le Ber, M. B<strong>en</strong>oit, C. Scott, J. F. Mari, and C. Mignolet. Studying cropsequ<strong>en</strong>ces with carrotage a hmm-based data mixing software. Ecological Mo<strong>de</strong>lling,191(1) :170–185, 2006.[9] J. Besag. Spatial interaction and the statistical analysis of lattice systems. J.of the Royal Statistical Society Series B, 36(2) :192–236, 1974.[10] J. Besag. On the statistical analysis of dirty picture. J. of the Royal StatisticalSociety Series B, 48(3) :259–302, 1986.[11] J. Besag and C. Kooperberg. On conditional intrinsic autoregressions. Biometrika,pages 733–746, 1995.[12] J. Besag, J. York, and A. Mollé. Bayesi<strong>en</strong> analysis of agricultural field experim<strong>en</strong>ts(with discussion). J. of the Royal Statistical Society Series B, 61 :691–746, 1991.[13] I. Bloch, Y. Gousseau, H. Maitre, D. Matignon, M. Sigelle, and F. Tupin. Letraitem<strong>en</strong>t <strong>de</strong>s images, volume Tome 1. 2003-2004.129