selected publications
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academic article
- Non-stationary data segmentation with hidden evidential semi-Markov chains. International Journal of Approximate Reasoning. 162:109025-109025. 2023
- Kernel smoothing classification of multiattribute data in the belief function framework: Application to multichannel image segmentation. Multimedia Tools and Applications. 81:29587-29608. 2022
- Reduced-Dimension Filtering in Triplet Markov Models. IEEE Transactions on Automatic Control. 67:605-617. 2021
- State estimation in pairwise Markov models with improved robustness using unbiased FIR filtering. Signal Processing. 172:107568-107568. 2020
- Semi-supervised optimal recursive filtering and smoothing in non-Gaussian Markov switching models. Signal Processing. 171:107511-107511. 2020
- An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model. Neurocomputing. 362:94-105. 2019
- Filtering in Gaussian Linear Systems With Fuzzy Switches. IEEE Transactions on Fuzzy Systems. 28:1760-1770. 2019
- Unsupervised segmentation of hidden Markov fields corrupted by correlated non-Gaussian noise. International Journal of Approximate Reasoning. 102:41-59. 2018
- Parameter Estimation in Switching Markov Systems and Unsupervised Smoothing. IEEE Transactions on Automatic Control. 64:1761-1767. 2018
- Fast smoothing in switching approximations of non-linear and non-Gaussian models. Computational Statistics & Data Analysis. 114:38-46. 2017
- A framework based on Hidden Markov Trees for multimodal PET/CT image co-segmentation. . 2017
- Unsupervised Segmentation of Markov Random Fields Corrupted by Nonstationary Noise. IEEE Signal Processing Letters. 23:1607-1611. 2016
- Dempster–Shafer fusion of evidential pairwise Markov fields. International Journal of Approximate Reasoning. 74:13-29. 2016
- Unsupervised classification using hidden Markov chain with unknown noise copulas and margins. Signal Processing. 128:8-17. 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
- Filtrage statistique optimal rapide dans des systèmes linéaires à sauts non stationnaires. Traitement du signal. 31:339-361. 2014
- Optimal Filter Approximations in Conditionally Gaussian Pairwise Markov Switching Models. IEEE Transactions on Automatic Control. 60:1104-1109. 2014
- Exact Fast Computation of Optimal Filter in Gaussian Switching Linear Systems. IEEE Signal Processing Letters. 20:701-704. 2013
- Separation of instantaneous mixtures of a particular set of dependent sources using classical ICA methods. EURASIP Journal on Advances in Signal Processing. 2013. 2013
- Unsupervised data classification using pairwise Markov chains with automatic copulas selection. Computational Statistics & Data Analysis. 63:81-98. 2013
- 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
- Subsampling-based HMC parameter estimation with application to large datasets classification. Signal Image and Video Processing. 8:873-882. 2012
- Subsampling-based HMC parameters estimation with application to large data sets classification. HAL (Le Centre pour la Communication Scientifique Directe). 2012
- Exact Smoothing in Hidden Conditionally Markov Switching Linear Models. Communication in Statistics- Theory and Methods. 40:2823-2829. 2011
- Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise. Signal Processing. 91:163-175. 2010
- Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas. IEEE Transactions on Automatic Control. 55:338-349. 2010
- Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation. Pattern Analysis and Applications. 11:425-434. 2008
- Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29:1367-1378. 2007
- Multisensor triplet Markov chains and theory of evidence. International Journal of Approximate Reasoning. 45:1-16. 2006
- Unsupervised restoration of hidden nonstationary Markov chains using evidential priors. IEEE Transactions on Signal Processing. 53:3091-3098. 2005
- Unsupervised image segmentation using triplet Markov fields. Computer Vision and Image Understanding. 99:476-498. 2005
- 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
- Chaînes de Markov cachées multivariées à bruit corrélé non gaussien, avec applications à la segmentation du signal radar. . 2005
- Chaînes et arbres de Markov évidentiels avec applications à la segmentation des processus non stationnaires Evidential Markov chains and trees with applications to non stationary processes segmentation. . 2005
- Generalized mixture estimation in hidden Markov trees, application to segmentation of images of street organ cards. HAL (Le Centre pour la Communication Scientifique Directe). 2005
- Fusion de Dempster–Shafer dans les chaînes triplet partiellement de Markov. Comptes Rendus Mathématique. 339:797-802. 2004
- Signal and Image Segmentation Using Pairwise Markov Chains. IEEE Transactions on Signal Processing. 52:2477-2489. 2004
- Unsupervised classification of radar images using hidden Markov chains and hidden Markov random fields. IEEE Transactions on Geoscience and Remote Sensing. 41:675-686. 2003
- Modèles de Markov Triplet et filtrage de Kalman Triplet Markov models and Kalman filtering. . 2003
- Sur les segmentations statistiques non supervis ees dans le contexte des m elanges g en eralis es. . 1999
- SEM algorithm and unsupervised statistical segmentation of satellite images. IEEE Transactions on Geoscience and Remote Sensing. 31:618-633. 1993
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blog posting
- Forecasting with Pairwise Gaussian Markov Models. arXiv (Cornell University). 2024
- On marginal markovianity in gaussian pairwise Markov models. . 2023
- Triplet Markov models and fast smoothing in switching systems. . 2018
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chapter
- Fast Segmentation of Markov Random Fields Corrupted by Correlated Noise. Lecture notes in networks and systems. 334-343. 2021
- An Exact Smoother in a Fuzzy Jump Markov Switching Model. Communications in computer and information science. 111-125. 2017
- Chaînes de Markov triplets et segmentation des images. HAL (Le Centre pour la Communication Scientifique Directe). 2009
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conference paper
- 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
- Parameter estimation in conditionally Gaussian pairwise Markov switching models and unsupervised smoothing. . 1-6. 2016
- Unsupervised learning of Markov-switching stochastic volatility with an application to market data. . 1-6. 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
- Fast filter in non-linear systems with application to stochastic volatility model. . 2014
- PET/CT image denoising and segmentation based on a multi observation and a multi scale Markov tree model. 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). 1-4. 2013
- Filtrage exact dans les systèmes linéaires gaussiens à sauts markoviens. HAL (Le Centre pour la Communication Scientifique Directe). 2013
- Exact optimal filtering in an approximating switching system. HAL (Le Centre pour la Communication Scientifique Directe). 2013
- Challenging eye segmentation using Triplet Markov spatial models. IEEE International Conference on Acoustics Speech and Signal Processing. 1927-1931. 2013
- Copulas selection in pairwise Markov chain. HAL (Le Centre pour la Communication Scientifique Directe). 2012
- Modèles de mélange à copules : simulation, restauration et sélection. HAL (Le Centre pour la Communication Scientifique Directe). 2012
- Segmentation conjointe d'images et copules. HAL (Le Centre pour la Communication Scientifique Directe). 2011
- Arbres de Markov couple et segmentation non supervisée d'images : cas de la mono-résolution. . 2011
- Une extension avec variables latentes du modèle d'analyse en composantes indépendantes. HAL (Le Centre pour la Communication Scientifique Directe). 2011
- Unsupervised segmentation of switching pairwise Markov chains. HAL (Le Centre pour la Communication Scientifique Directe). 2011
- Unsupervised restoration in Gaussian Pairwise Mixture Model. European Signal Processing Conference. 854-858. 2011
- Unsupervised restoration in Gaussian pairwise mixture models. HAL (Le Centre pour la Communication Scientifique Directe). 2011
- Exact Kalman filtering in pairwise Gaussian switching systems. HAL (Le Centre pour la Communication Scientifique Directe). 2011
- Kalman filtering approximations in triplet Markov Gaussian switching models. . 77-80. 2011
- An extension of the ICA model using latent variables. . 3712-3715. 2011
- EM and ICE in hidden and triplet Markov models. HAL (Le Centre pour la Communication Scientifique Directe). 2010
- Exact Bayesian smoothing in triplet switching Markov chains. HAL (Le Centre pour la Communication Scientifique Directe). 2009
- Exact filtering and smoothing in short or long memory stochastic switching systems. . 1-6. 2009
- New trends in Markov models and related learning to restore data. . 1-6. 2009
- Exact filtering and smoothing in Markov switching systems hidden with Gaussian long memory noise. . 2009
- Exact smoothing in hidden conditionally Markov switching chains. . 2009
- Exact Filtering in Semi-Markov Jumping System. AIP conference proceedings. 2009
- Pairwise and Uniformly Hidden Markov Fields. AIP conference proceedings. 193-196. 2009
- Estimation Of Mixture And Unsupervised Segmentation Of Images. . 1083-1085. 2005
- Fast Unsupervised Statistical Image Segmentation Method. . 1395-1397. 2005
- Fuzzy Statistical Unsupervised Image Segmentation. . 2005
- A MULTISCALE SMOOTHING ALGORITHM FOR PAIRWISE MARKOV TREES. . 2004
- Kalman filtering using pairwise Gaussian models. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. VI-60. 2004