A Probabilistic Semi-Supervised Approach with Triplet Markov Chains

Autor: Morales, Katherine, Petetin, Yohan

Triplet Markov chains are general generative models for sequential data which take into account three kinds of random variables: (noisy) observations, their associated discrete labels and latent variables which aim at strengthening the distribution o

Externí odkaz: http://arxiv.org/abs/2309.03707

Unsupervised segmentation of triplet Markov chains hidden with long-memory noise

Autor: Lanchantin, Pierre, Lapuyade-Lahorgue, Jérôme, Pieczynski, Wojciech

Publikováno v: In Signal Processing 2008 88(5):1134-1151

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Unsupervised segmentation of nonstationary data using triplet Markov chains

Autor: Ahmed Habbouchi, Emmanuel Monfrini, Mohamed El Yazid Boudaren, Kadda Beghdad Bey, Wojciech Pieczynski

Publikováno v: Proceedings ICEIS 2017 : 19th International Conference on Enterprise Information Systems
ICEIS 2017 : 19th International Conference on Enterprise Information Systems
ICEIS 2017 : 19th International Conference on Enterprise Information Systems, Apr 2017, Porto, Portugal. pp.405-414, ⟨10.5220/0006276704050414⟩
ICEIS (1)
Scopus-Elsevier

International audience; An important issue in statistical image and signal segmentation consists in estimating the hidden variables of interest. For this purpose, various Bayesian estimation algorithms have been developed, particularly in the framewo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ce2c74e20a8f427adf61e9c925d958e
https://hal.archives-ouvertes.fr/hal-01548177

Phasic Triplet Markov Chains

Autor: Amar Aissani, Emmanuel Monfrini, Mohamed El Yazid Boudaren, Wojciech Pieczynski

Publikováno v: IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2014, 36 (11), pp.2310-2316. ⟨10.1109/TPAMI.2014.2327974⟩

International audience; Hidden Markov chains have been shown to be inadequate for data modeling under some complex conditions. In this work, we address the problem of statistical modeling of phenomena involving two heterogeneous system states. Such p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f87e84560a30752c4a33b770e6f4ac54
https://pubmed.ncbi.nlm.nih.gov/26353069