New trends in Markov models and related learning to restore data

Abstract : We present recent approaches that extend standard Markov models and increase their modelling power. These capabilities are illustrated in the cited published works and more recently in the contributions to the Special Session on Markov models of the IEEE International Workshop on Machine Learning for Signal Processing, 2009. However, the review is not exhaustive and major older works may be missing.
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Communication dans un congrès
MLSP 2009 - IEEE International Workshop on Machine Learning for Signal Processing, Sep 2009, Grenoble, France. IEEE, pp.1-6, 2009, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5306255〉. 〈10.1109/MLSP.2009.5306255〉
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https://hal.inria.fr/hal-00781201
Contributeur : Florence Forbes <>
Soumis le : vendredi 25 janvier 2013 - 16:09:34
Dernière modification le : mercredi 11 avril 2018 - 01:59:33

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Florence Forbes, Wojciech Pieczynski. New trends in Markov models and related learning to restore data. MLSP 2009 - IEEE International Workshop on Machine Learning for Signal Processing, Sep 2009, Grenoble, France. IEEE, pp.1-6, 2009, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5306255〉. 〈10.1109/MLSP.2009.5306255〉. 〈hal-00781201〉

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