selected publications
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academic article
- Unsupervised image segmentation with Gaussian Pairwise Markov Fields. Computational Statistics & Data Analysis. 158:107178-107178. 2021
- Oriented Triplet Markov Fields. Pattern Recognition Letters. 103:16-22. 2018
- Fast smoothing in switching approximations of non-linear and non-Gaussian models. Computational Statistics & Data Analysis. 114:38-46. 2017
- Extended faint source detection in astronomical hyperspectral images. Signal Processing. 135:274-283. 2017
- Markov Chains for unsupervised segmentation of degraded NIR iris images for person recognition. Pattern Recognition Letters. 82:116-123. 2016
- Optimal filtering in hidden and pairwise Gaussian Markov systems. . 2016
- Performance comparison across hidden, pairwise and triplet Markov model's estimators. HAL (Le Centre pour la Communication Scientifique Directe). 2016
- Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions. IEEE Signal Processing Letters. 19:619-622. 2012
- Dempster–Shafer fusion of multisensor signals in nonstationary Markovian context. EURASIP Journal on Advances in Signal Processing. 2012. 2012
- A Quadratic Loss Multi-Class SVM for which a Radius–Margin Bound Applies. Informatica. 22:73-96. 2011
- Article court Estimation de mélanges généralisés dans les arbres de Markov cachés, application à la segmentation des images de cartons d'orgue de barbarie Short paper Generalized mixture estimation in hidden Markov trees, application to segmentation of images of street organ cards. . 2005
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blog posting
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conference paper
- Unsupervised segmentation of stents corrupted by artifacts in medical X-ray images. . 1-6. 2020
- Segmentation de stents dans des données médicales à rayons-X corrompues par les artéfacts. . 2019
- Segmentation non-supervisée dans les champs de Markov couples gaussiens. . 2019
- Triplet Markov Trees for Image Segmentation. . 233-237. 2018
- Arbres de Markov triplets pour la segmentation d'images. HAL (Le Centre pour la Communication Scientifique Directe). 2017
- Pairwise Markov models for stock index forecasting. HAL (Le Centre pour la Communication Scientifique Directe). 2017
- Unsupervised learning of asymmetric high-order autoregressive stochastic volatility model. . 4780-4784. 2017
- Unsupervised Segmentation of Nonstationary Data using Triplet Markov Chains. . 405-414. 2017
- Unsupervised learning of Markov-switching stochastic volatility with an application to market data. . 1-6. 2016
- Oriented Triplet Markov Field for Hyperspectral Image Segmentation. HAL (Le Centre pour la Communication Scientifique Directe). 2016
- Fast filtering with new sparse transition Markov chains. . 1-5. 2016
- Lissage rapide dans des modèles non linéaires et non gaussiens. HAL (Le Centre pour la Communication Scientifique Directe). 2015
- Exact fast smoothing in switching models with application to stochastic volatility. . 924-928. 2015
- Implementation of Unsupervised Statistical Methods for Low-Quality Iris Segmentation. . 566-573. 2014
- Poursuite de cible par un senseur mobile ; repérage multisenseur de la position du senseur mobile. . 2013
- Arbres de Markov couple et segmentation non supervisée d'images : cas de la mono-résolution. . 2011
- Unsupervised segmentation of switching pairwise Markov chains. HAL (Le Centre pour la Communication Scientifique Directe). 2011
- Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence. . 3992-3995. 2011
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