Article dans une revue

2023

ref_biblio

Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski. Equivalence between LC-CRF and HMM, and discriminative computing of HMM-based MPM and MAP. Algorithms, 2023, 16 (3), ⟨10.3390/a16030173⟩. ⟨hal-04231942⟩

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Clément Fernandes, Wojciech Pieczynski. Non-stationary data segmentation with hidden evidential semi-Markov chains. International Journal of Approximate Reasoning, 2023, 162, pp.109025. ⟨10.1016/j.ijar.2023.109025⟩. ⟨hal-04231954⟩

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Soumia Goumiri, Dalila Benboudjema, Wojciech Pieczynski. A new hybrid model of convolutional neural networks and hidden Markov chains for image classification. Neural Computing and Applications, 2023, 35 (24), pp.17987-18002. ⟨10.1007/s00521-023-08644-4⟩. ⟨hal-04231950⟩

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2022

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Zied Bouyahia, Hedi Haddad, Stéphane Derrode, Wojciech Pieczynski. Traffic state prediction using conditionally Gaussian observed Markov fuzzy switching model. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, In press, pp.1-20. ⟨10.1080/15472450.2022.2069498⟩. ⟨hal-03765668⟩

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Ali Hamache, Mohamed El Yazid Boudaren, Wojciech Pieczynski. Kernel smoothing classification of multiattribute data in the belief function framework: application to multichannel image segmentation. Multimedia Tools and Applications, 2022, 81 (20), pp.29587-29608. ⟨10.1007/s11042-022-12086-w⟩. ⟨hal-03958357⟩

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Frederic Lehmann, Wojciech Pieczynski. Reduced-dimension filtering in triplet Markov models. IEEE Transactions on Automatic Control, 2022, 67 (2), pp.605-617. ⟨10.1109/TAC.2021.3050721⟩. ⟨hal-03145669⟩

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2020

ref_biblio

Frederic Lehmann, Wojciech Pieczynski. State estimation in pairwise Markov models with improved robustness using unbiased FIR filtering. Signal Processing, 2020, 172, pp.107568:1-107568:11. ⟨10.1016/j.sigpro.2020.107568⟩. ⟨hal-02863375⟩

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2019

ref_biblio

Haoyu Li, Stéphane Derrode, Wojciech Pieczynski. Lower limb locomotion activity recognition of healthy individuals using semi-Markov model and single wearable inertial sensor. Sensors, 2019, Sensors for Gait, Posture, and Health Monitoring, 19, pp.4242-1. ⟨10.3390/s19194242⟩. ⟨hal-02351365⟩

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ref_biblio

Haoyu Li, Stéphane Derrode, Wojciech Pieczynski. An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model. Neurocomputing, 2019, 362, pp.94 - 105. ⟨10.1016/j.neucom.2019.06.081⟩. ⟨hal-02270579⟩

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Fei Zheng, Stéphane Derrode, Wojciech Pieczynski. Parameter estimation in switching Markov systems and unsupervised smoothing. IEEE Transactions on Automatic Control, 2019, 64 (4), pp.1761 - 1767. ⟨10.1109/TAC.2018.2863651⟩. ⟨hal-01885193⟩

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2018

ref_biblio

Lin An, Ming Li, Mohamed El Yazid Boudaren, Wojciech Pieczynski. Unsupervised segmentation of hidden Markov fields corrupted by correlated non-Gaussian noise. International Journal of Approximate Reasoning, 2018, 102, pp.41 - 59. ⟨10.1016/j.ijar.2018.08.001⟩. ⟨hal-01862625⟩

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ref_biblio

Ivan Gorynin, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski. Assessing the segmentation performance of pairwise and triplet Markov models. Signal Processing, 2018, 145, pp.183 - 192. ⟨10.1016/j.sigpro.2017.12.006⟩. ⟨hal-01681354⟩

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2016

ref_biblio

Mohamed El Yazid Boudaren, Lin An, Wojciech Pieczynski. Unsupervised segmentation of SAR images using Gaussian mixture-hidden evidential Markov fields. IEEE Geoscience and Remote Sensing Letters, 2016, 13 (12), pp.1865 - 1869. ⟨10.1109/LGRS.2016.2615647⟩. ⟨hal-01412962⟩

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ref_biblio

Mohamed El Yazid Boudaren, Wojciech Pieczynski. Unified representation of sets of heterogeneous Markov transition matrices. IEEE Transactions on Fuzzy Systems, 2016, 24 (2), pp.497 - 503. ⟨10.1109/TFUZZ.2015.2460740⟩. ⟨hal-01300452⟩

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ref_biblio

Mohamed El Yazid Boudaren, Wojciech Pieczynski. Dempster-Shafer fusion of evidential pairwise Markov chains. IEEE Transactions on Fuzzy Systems, 2016, 24 (6), pp.1598 - 1610. ⟨10.1109/TFUZZ.2016.2543750⟩. ⟨hal-01426916⟩

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Mohamed El Yazid Boudaren, Lin An, Wojciech Pieczynski. Dempster-Shafer fusion of evidential pairwise Markov fields. International Journal of Approximate Reasoning, 2016, 74, pp.13 - 29. ⟨10.1016/j.ijar.2016.03.006⟩. ⟨hal-01300449⟩

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ref_biblio

Ivan Gorynin, Laurent Crelier, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski. Performance comparison across hidden, pairwise and triplet Markov model's estimators. International journal of mathematical and computational methods (IJMCM), 2016, 1, pp.253 - 258. ⟨hal-01461636⟩

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Ivan Gorynin, Elie Azeraf, Wiem Sabbagh, Emmanuel Monfrini, Wojciech Pieczynski. Optimal filtering in hidden and pairwise Gaussian Markov systems. International journal of mathematical and computational methods (IJMCM), 2016, 1, pp.259 - 263. ⟨hal-01461630⟩

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Ahmed Habbouchi, Mohamed El Yazid Boudaren, Amar Aïssani, Wojciech Pieczynski. Unsupervised segmentation of Markov random fields corrupted by nonstationary noise. IEEE Signal Processing Letters, 2016, 23 (11), pp.1607 - 1611. ⟨10.1109/LSP.2016.2609887⟩. ⟨hal-01375357⟩

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2013

ref_biblio

Marc Castella, Selwa Rafi, Pierre Comon, Wojciech Pieczynski. Separation of instantaneous mixtures of dependent sources using classical ICA methods. EURASIP Journal on Advances in Signal Processing, 2013, 2013:62, pp.n/c. ⟨10.1186/1687-6180-2013-62⟩. ⟨hal-00830124⟩

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ref_biblio

Stéphane Derrode, Wojciech Pieczynski. Unsupervised data classification using pairwise Markov chains with automatic copulas selection. Computational Statistics and Data Analysis, 2013, 63, pp.81-98. ⟨10.1016/j.csda.2013.01.027⟩. ⟨hal-00830221⟩

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ref_biblio

Stéphane Derrode, Wojciech Pieczynski. Exact fast computation of optimal filter in Gaussian switching linear systems. IEEE Signal Processing Letters, 2013, 20 (7), pp.701-704. ⟨10.1109/LSP.2013.2261494⟩. ⟨hal-00830241⟩

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2012

ref_biblio

Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski, Amar Aïssani. Dempster-Shafer fusion of multisensor signals in nonstationary Markovian context. EURASIP Journal on Advances in Signal Processing, 2012, 2012:134, ⟨10.1186/1687-6180-2012-134⟩. ⟨hal-00766444⟩

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ref_biblio

Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski. Unsupervised segmentation of random discrete data hidden with switching noise distributions. IEEE Signal Processing Letters, 2012, 19 (10), pp.619-622. ⟨10.1109/LSP.2012.2209639⟩. ⟨hal-00738142⟩

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ref_biblio

Stéphane Derrode, Wojciech Pieczynski. Segmentation d'images par modèle de mélange conjoint non gaussien. Traitement du Signal, 2012, 29 (1-2), pp.9-28. ⟨10.3166/ts.29.9-28⟩. ⟨hal-00755497⟩

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ref_biblio

Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski. Unsupervised segmentation of hidden semi-Markov non-stationary chains. Signal Processing, 2012, 92 (1), pp.29 - 42. ⟨10.1016/j.sigpro.2011.06.001⟩. ⟨hal-01347981⟩

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2011

ref_biblio

Pierre Lanchantin, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski. Unsupervised Segmentation of Randomly Switching Data Hidden With Non-Gaussian Correlated Noise : Hidden Markov chains, Triplet Markov Chains, Copulas, non-Gaussian correlated noise. Signal Processing, 2011, 91 (2). ⟨hal-01106545⟩

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ref_biblio

Wojciech Pieczynski. Exact smoothing in hidden conditionally Markov switching linear models. Communications in Statistics - Theory and Methods, 2011, 40 (16), pp.2823 - 2829. ⟨10.1080/03610926.2011.562761⟩. ⟨hal-01348048⟩

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ref_biblio

Wojciech Pieczynski. Exact filtering in conditionally Markov switching hidden linear models. Comptes Rendus. Mathématique, 2011, 349 (9-10), pp.587 - 590. ⟨10.1016/j.crma.2011.02.007⟩. ⟨hal-01348034⟩

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2010

ref_biblio

Nicolas Brunel, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski. Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas. IEEE Transactions on Automatic Control, 2010, 55 (2), pp.338--349. ⟨10.1109/TAC.2009.2034929⟩. ⟨hal-00647354⟩

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ref_biblio

Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski. Unsupervised segmentation of new semi-Markov chains hidden with long dependence noise. Signal Processing, 2010, 90 (11), pp.2899 - 2910. ⟨10.1016/j.sigpro.2010.04.008⟩. ⟨hal-01354783⟩

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2008

ref_biblio

Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Wojciech Pieczynski, Jean-Marie Augustin. Fusion of texural statistics using a similarity measure : application to texture recognition and segmentation. Pattern Analysis and Applications, 2008, 11 (3-4), pp.425 - 434. ⟨hal-01767555⟩

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ref_biblio

Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Wojciech Pieczynski, Jean-Marie Augustin. Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation. Pattern Analysis and Applications, 2008, 11 (3-4), pp.425 - 434. ⟨10.1007/s10044-008-0108-z⟩. ⟨hal-01371973⟩

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ref_biblio

Pierre Lanchantin, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski. Unsupervised Segmentation of Triplet Markov Chains Hidden with Long-Memory Noise : Hidden Markov chains, Triplet Markov Chains, Copulas, non-Gaussian correlated noise. Signal Processing, 2008. ⟨hal-01106546⟩

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ref_biblio

Wojciech Pieczynski. Sur la convergence de l'estimation conditionnelle itérative. Comptes Rendus. Mathématique, 2008, 346 (7-8), pp.457 - 460. ⟨10.1016/j.crma.2008.02.023⟩. ⟨hal-01371971⟩

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2007

ref_biblio

Dalila Benboudjema, Wojciech Pieczynski. Unsupervised statistical segmentation of nonstationary images using triplet Markov fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29 (8), pp.1367 - 1378. ⟨10.1109/TPAMI.2007.1059⟩. ⟨hal-01347974⟩

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ref_biblio

Wojciech Pieczynski. Multisensor triplet Markov chains and theory of evidence. International Journal of Approximate Reasoning, 2007, 45 (1), pp.1 - 16. ⟨10.1016/j.ijar.2006.05.001⟩. ⟨hal-01347975⟩

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2006

ref_biblio

Wojciech Pieczynski, Dalila Benboudjema. Multisensor triplet Markov fields and theory of evidence. Image and Vision Computing, 2006, 24 (1), pp.61 - 69. ⟨10.1016/j.imavis.2005.09.012⟩. ⟨hal-01347962⟩

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2005

ref_biblio

Dalila Benboudjema, Wojciech Pieczynski. Unsupervised image segmentation using triplet Markov fields. Computer Vision and Image Understanding, 2005, 99 (3), pp.476 - 498. ⟨10.1016/j.cviu.2005.04.003⟩. ⟨hal-01347961⟩

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ref_biblio

Nicolas Brunel, Wojciech Pieczynski. Signal restoration using hidden Markov chains with copulas. Signal Processing, 2005, 85 (12), pp.2304 - 2315. ⟨10.1016/j.sigpro.2005.01.018⟩. ⟨hal-01347782⟩

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ref_biblio

Pierre Lanchantin, Wojciech Pieczynski. Chaînes et arbres de Markov évidentiels avec applications à la segmentation des processus non stationnaires. Traitement du Signal, 2005, 22 (1), pp.15 - 26. ⟨hal-01347969⟩

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ref_biblio

Pierre Lanchantin, Wojciech Pieczynski. Unsupervised restoration of hidden nonstationary Markov chains using evidential priors. IEEE Transactions on Signal Processing, 2005, 53 (8), pp.3091 - 3098. ⟨10.1109/TSP.2005.851131⟩. ⟨hal-01347787⟩

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ref_biblio

Emmanuel Monfrini, Wojciech Pieczynski. Estimation de mélanges généralisés dans les arbres de Markov cachés, application à la segmentation des images de cartons d'orgue de barbarie. Traitement du Signal, 2005, 22 (2), pp.135 - 147. ⟨hal-01347972⟩

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ref_biblio

Wojciech Pieczynski. Copules gaussiennes dans les chaînes triplet partiellement de Markov. Comptes Rendus. Mathématique, 2005, 341 (3), pp.189 - 194. ⟨10.1016/j.crma.2005.06.012⟩. ⟨hal-01347789⟩

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2004

ref_biblio

Stéphane Derrode, Wojciech Pieczynski. Signal and image segmentation using pairwise Markov chains. IEEE Transactions on Signal Processing, 2004, 52 (9), pp.2477 - 2489. ⟨10.1109/TSP.2004.832015⟩. ⟨hal-01346595⟩

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ref_biblio

Wojciech Pieczynski. Fusion de Dempster-Shafer dans les chaînes triplet partiellement de Markov. Comptes Rendus. Mathématique, 2004, 339 (11), pp.797 - 802. ⟨10.1016/j.crma.2004.10.013⟩. ⟨hal-01347763⟩

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2003

ref_biblio

François Desbouvries, Wojciech Pieczynski. Modèles de Markov triplet et filtrage de Kalman. Comptes Rendus. Mathématique, 2003, 336 (8), pp.667 - 670. ⟨10.1016/S1631-073X(03)00152-3⟩. ⟨hal-01347766⟩

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ref_biblio

Roger Fjortoft, Wojciech Pieczynski, Marc Sigelle, Florence Tupin, Yves Delignon. Unsupervised classification of radar images using hidden Markov chains and hidden Markov random fields. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41 (3), pp.675 - 686. ⟨10.1109/TGRS.2003.809940⟩. ⟨hal-01347239⟩

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ref_biblio

Wojciech Pieczynski. Modèles de Markov en traitement d'images. Traitement du Signal, 2003, 20 (3-NS), pp.255 - 277. ⟨hal-01346587⟩

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ref_biblio

Wojciech Pieczynski. Arbres de Markov Triplet et fusion de Dempster-Shafer. Comptes Rendus. Mathématique, 2003, 336 (10), pp.869 - 872. ⟨10.1016/S1631-073X(03)00188-2⟩. ⟨hal-01331300⟩

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ref_biblio

Wojciech Pieczynski. Pairwise Markov chains. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25 (5), pp.634 - 639. ⟨10.1109/TPAMI.2003.1195998⟩. ⟨hal-01346583⟩

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Communication dans un congrès

2023

ref_biblio

Marc Escudier, Ikram Abdelkefi, Clément Fernandes, Wojciech Pieczynski. Forecasting with pairwise gaussian Markov models. 8th International Conference on Mathematics and Computers in Sciences and Industry Athens (CMCSI 23), IEEE, Oct 2023, Athènes, Greece. ⟨10.1109/MCSI60294.2023.00009⟩. ⟨hal-04450999⟩

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2021

ref_biblio

Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski. Introducing the hidden neural Markov chain framework. ICAART 2021: 13th International Conference on Agents and Artificial Intelligence, Feb 2021, Online, Portugal. pp.1013-1020, ⟨10.5220/0010303310131020⟩. ⟨hal-03540323⟩

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2018

ref_biblio

Stéphane Derrode, Haoyu Li, Lamia Benyoussef, Wojciech Pieczynski. Unsupervised pedestrian trajectory reconstruction from IMU sensors. TAIMA 2018: Traitement et Analyse de l'Information Méthodes et Applications, Apr 2018, Hammamet, Tunisia. ⟨hal-01786223⟩

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Haoyu Li, Stéphane Derrode, Lamia Benyoussef, Wojciech Pieczynski. Free-walking 3D pedestrian large trajectory reconstruction from IMU sensors. EUSIPCO 2018: 26th European Signal Processing Conference, Sep 2018, Rome, Italy. pp.657-661, ⟨10.23919/EUSIPCO.2018.8553462⟩. ⟨hal-01870621⟩

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ref_biblio

Fei Zheng, Stéphane Derrode, Wojciech Pieczynski. Fast exact filtering in generalized conditionally observed Markov switching models with copulas. TAIMA 2018: Traitement et Analyse de l'Information Méthodes et Applications, Apr 2018, Hammamet, Tunisia. ⟨hal-01786221⟩

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2017

ref_biblio

Mohamed El Yazid Boudaren, Emmanuel Monfrini, Kadda Beghdad Bey, Ahmed Habbouchi, Wojciech Pieczynski. Unsupervised segmentation of nonstationary data using triplet Markov chains. ICEIS 2017 : 19th International Conference on Enterprise Information Systems, Apr 2017, Porto, Portugal. pp.405 - 414, ⟨10.5220/0006276704050414⟩. ⟨hal-01548177⟩

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ref_biblio

Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski. Estimation de la variance stochastique multivariée avec un filtre gaussien basé sur la méthode de Laplace. GRETSI 2017 : XXVIe Colloque, Sep 2017, Juan Les Pins, France. pp.1 - 4. ⟨hal-01885262⟩

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Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski. Pairwise Markov models for stock index forecasting. EUSIPCO 2017 : 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. pp.2095 - 2099. ⟨hal-01611333⟩

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Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski. Unsupervised learning of asymmetric high-order autoregressive stochastic volatility model. ICASSP 2017 : 42nd International Conference on Acoustics, Speech and Signal Processing, Mar 2017, New Orleans, United States. pp.4780 - 4784, ⟨10.1109/ICASSP.2017.7953064⟩. ⟨hal-01701173⟩

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2016

ref_biblio

Lin An, Ming Li, Mohamed El Yazid Boudaren, Wojciech Pieczynski. Evidential correlated Gaussian mixture Markov model for pixel labeling problem. BELIEF 2016: 4th International Conference on Belief Functions, Sep 2016, Prague, Czech Republic. pp.203 - 211, ⟨10.1007/978-3-319-45559-4_21⟩. ⟨hal-01369520⟩

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ref_biblio

Zied Bouyahia, Stéphane Derrode, Wojciech Pieczynski. An exact smoother in a fuzzy jump Markov switching model. 6th International Workshop on Representation, analysis and recognition of shape and motion FroM Imaging data (RFMI 2016), Oct 2016, Sidi Bou Said, Tunisia. ⟨hal-01448543⟩

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ref_biblio

Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski. Unsupervised learning of Markov-switching stochastic volatility with an application to market data. MLSP 2016 : 26th International Workshop on Machine Learning for Signal Processing, Sep 2016, Salerno, Italy. pp.1 - 6, ⟨10.1109/MLSP.2016.7738821⟩. ⟨hal-01548330⟩

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ref_biblio

Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski. Fast filtering with new sparse transition Markov chains. SSP 2016 : IEEE worshop on Statistical Signal Processing, Jun 2016, Palma De Mallorca, Spain. pp.1 - 5, ⟨10.1109/SSP.2016.7551839⟩. ⟨hal-01358384⟩

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2013

ref_biblio

Dalila Benboudjema, Nadia Othman, Bernadette Dorizzi, Wojciech Pieczynski. Challenging eye segmentation using triplet Markov spatial models. ICASSP 2013 : 38th International Conference on Acoustics, Speech, and Signal Processing, May 2013, Vancouver, Canada. pp.1927 - 1931, ⟨10.1109/ICASSP.2013.6637989⟩. ⟨hal-01277855⟩

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ref_biblio

Dalila Benboudjema, Nadia Othman, Bernadette Dorizzi, Wojciech Pieczynski. Segmentation d'images des yeux par champs de Markov triplets : applications à la biométrie. XXIVème Colloque Gretsi, Sep 2013, Brest, France. ⟨hal-00867134⟩

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ref_biblio

Stéphane Derrode, Wojciech Pieczynski. Filtrage exact dans les systèmes linéaires gaussiens à sauts markoviens. XXIVème Colloque Gretsi, Sep 2013, Brest, France. ⟨hal-00867172⟩

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ref_biblio

Houda Hanzouli, Jérôme Lapuyade-Lahorgue, Emmanuel Monfrini, Gaspar Delso, Wojciech Pieczynski, et al.. PECT/CT image denoising and segmentation based on a multi observation and multi scale Markov tree model. NSS/MIC 2013 : Nuclear Science Symposium and Medical Imaging Conference, Oct 2013, Séoul, South Korea. ⟨10.1109/NSSMIC.2013.6829281⟩. ⟨hal-01056014⟩

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ref_biblio

Wojciech Pieczynski, Stéphane Derrode, Noufel Abbassi, Yohan Petetin, François Desbouvries. Exact optimal filtering in an approximating switching system. TAIMA 2013 : Traitement et Analyse de l'Information Méthodes et Applications, May 2013, Hammamet, Tunisia. ⟨hal-01461574⟩

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2012

ref_biblio

Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski. Unsupervised segmentation of nonstationary pairwise Markov chains using evidential priors. EUSIPCO '12 : 20th European Signal Processing Conference, Aug 2012, Bucharest, Romania. pp.2243-2247. ⟨hal-00778813⟩

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2011

ref_biblio

Noufel Abbassi, Dalila Benboudjema, Wojciech Pieczynski. Filtrage optimal dans les systèmes linéaires gaussiens markoviens à sauts. GRETSI 2011 : XXIIIe Colloque, Sep 2011, Bordeaux, France. ⟨hal-01347968⟩

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ref_biblio

Noufel Abbassi, Dalila Benboudjema, Wojciech Pieczynski. Kalman filtering approximations in triplet Markov Gaussian switching models. SSP 2011 : Statistical Signal Processing Workshop, Jun 2011, Nice, France. pp.77 - 80, ⟨10.1109/SSP.2011.5967820⟩. ⟨hal-01347978⟩

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ref_biblio

Dalila Benboudjema, Mohamed El Bouchraya Malainin, Wojciech Pieczynski. Exact Kalman filtering in pairwise Gaussian switching systems. ASMDA 2011 : Applied Stochastic Models and Data Analysis, Jun 2011, Rome, Italy. ⟨hal-01347979⟩

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ref_biblio

Mohamed El Yazid Boudaren, Wojciech Pieczynski, Emmanuel Monfrini. Unsupervised segmentation of non stationary data hidden with non stationary noise. WoSSPA 2011 : 7th International Workshop on Systems, Signal Processing and their Applications, May 2011, Tipaza, Algeria. pp.255 - 258, ⟨10.1109/WOSSPA.2011.5931466⟩. ⟨hal-01354693⟩

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ref_biblio

Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski. Switching pairwise Markov chains for non stationary textured images segmentation. CGVCVIP 2011 : IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing, Jul 2011, Rome, Italy. pp.11 - 18. ⟨hal-01354618⟩

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ref_biblio

Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski. Unsupervised segmentation of switching pairwise Markov chains. ISPA 2011 : 7th International Symposium on Image and Signal Processing and Analysis , Sep 2011, Dubrovnik, Croatia. pp.183 - 188. ⟨hal-01354617⟩

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ref_biblio

Emmanuel Monfrini, Wojciech Pieczynski. Arbres de Markov couple et segmentation non supervisée d'images : cas de la mono-résolution. GRETSI 2011 : XXIIIe Colloque, Sep 2011, Bordeaux, France. ⟨hal-01347964⟩

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ref_biblio

Selwa Rafi, Marc Castella, Wojciech Pieczynski. An extension of the ICA model using latent variables. ICASSP 2011 : 36th International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.3712 - 3715, ⟨10.1109/ICASSP.2011.5947157⟩. ⟨hal-01302411⟩

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Selwa Rafi, Marc Castella, Wojciech Pieczynski. Une extension avec variables latentes du modèle d'analyse en composantes indépendantes. GRETSI 2011 : XXIIIe Colloque, Sep 2011, Bordeaux, France. pp.1 - 4. ⟨hal-01465735⟩

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Selwa Rafi, Marc Castella, Wojciech Pieczynski. Pairwise Markov model applied to unsupervised image separation. SPPRA '11 : The Eighth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, Feb 2011, Innsbruck, Austria. ⟨10.2316/P.2011.721-044⟩. ⟨hal-00714717⟩

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2010

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Noufel Abbassi, Wojciech Pieczynski. Long memory based approximation of filtering in non linear switching systems. SMTDA 2010 : Stochastic Modeling Techniques and Data Analysis International Conference, Jun 2010, Chania, Greece. ⟨hal-01354810⟩

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Noémie Bardel, Noufel Abbassi, François Desbouvries, Wojciech Pieczynski, Frédéric Barbaresco. A bayesian filtering algorithm in jump Markov systems with application to track-before-detect. Radar 2010 : IEEE International Radar Conference, May 2010, Washington, United States. pp.1397 - 1402, ⟨10.1109/RADAR.2010.5494397⟩. ⟨hal-01306300⟩

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Wojciech Pieczynski. EM and ICE in hidden and triplet Markov models. SMTDA 2010 : Stochastic Modeling Techniques and Data Analysis International Conference, Jun 2010, Chania, Greece. ⟨hal-01354803⟩

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2009

ref_biblio

Noufel Abbassi, Wojciech Pieczynski. Filtrage exact partiellement non supervisé dans les modèles cachés à sauts markoviens. GRETSI 2009 : XXIIe Colloque du Groupe d'Etudes du Traitement du Signal et des Images, Sep 2009, Dijon, France. pp.1 - 4. ⟨hal-01360670⟩

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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. pp.1-6, ⟨10.1109/MLSP.2009.5306255⟩. ⟨hal-00781201⟩

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Wojciech Pieczynski, Noufel Abbassi. Exact filtering and smoothing in short or long memory stochastic switching systems. IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING, Sep 2009, Grenoble, France. ⟨hal-00408868⟩

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Wojciech Pieczynski, Noufel Abbassi, Mohamed Ben Mabrouk. Exact filtering and smoothing in Markov switching systems hidden with Gaussian long memory noise. ASMDA 2009 : XIII International Conference Applied Stochastic Models and Data Analysis, Jun 2009, Vilnius, Lithuania. pp.208 - 211. ⟨hal-01360653⟩

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Wojciech Pieczynski, François Desbouvries. Exact Bayesian smoothing in triplet switching Markov chains. S. Co. 2009 : Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction , Sep 2009, Milan, Italy. ⟨hal-01365911⟩

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Wojciech Pieczynski. Exact smoothing in hidden conditionally Markov switching chains. ASMDA 2009 : XIII International Conference Applied Stochastic Models and Data Analysis, Jun 2009, Vilnius Lithuania. pp.212 - 216. ⟨hal-01360396⟩

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2008

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Noufel Abbassi, Wojciech Pieczynski. Exact filtering in semi-Markov jumping system. ICCMSE 2008 : 6th International Conference of Computational Methods in Sciences and Engineering, Sep 2008, Hersonissos, Greece. ⟨10.1063/1.3225273⟩. ⟨hal-01394350⟩

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Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski. Unsupervised segmentation of non-stationary hidden Markov chains with copulas. IASC '08 : Joint 4th World Conference of the IASC and 6th of the Asian Regional Section of the IASC on Computational Statistics & Data Analysis, Dec 2008, Yokohama, Japan. pp.1-10. ⟨hal-00796663⟩

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ref_biblio

Wojciech Pieczynski. Pairwise and uniformly hidden Markov fields. ICCMSE '08 : Sixth International Conference of Computational Methods in Sciences and Engineering, Sep 2008, Hersonissos, Crete, Greece. pp.193. ⟨hal-00796763⟩

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Wojciech Pieczynski. Exact Calculation of Optimal Filter in Hidden Markov Switching Long-Memory Chain. International Conference on Mathematics and Statistics (ICMS 2009), Jun 2008, Athènes, Greece. pp.1-10. ⟨hal-00403154⟩

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ref_biblio

Wojciech Pieczynski. Exact calculation of optimal filter in semi-Markov switching model. IASC '08 : Joint 4th World Conference of the IASC and 6th of the Asian Regional Section of the IASC on Computational Statistics & Data Analysis, Dec 2008, Yokohama, Japan. pp.1-8. ⟨hal-00796636⟩

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2005

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Wojciech Pieczynski, François Desbouvries. On Triplet Markov Chains. ASMDA, May 2005, Brest, France. ⟨hal-04415484⟩

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2004

ref_biblio

Jean Lecomte, François Desbouvries, Wojciech Pieczynski. A MULTISCALE SMOOTHING ALGORITHM FOR PAIRWISE MARKOV TREES. sixth IMA International Conference on Mathematics in Signal Processing, Dec 2004, Cirencester, United Kingdom. ⟨hal-04415504⟩

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2003

ref_biblio

François Desbouvries, Wojciech Pieczynski. PARTICLE FILTERING IN PAIRWISE AND TRIPLET MARKOV CHAINS. IEEE - EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP 2003), IEEE & EURASIP, Jun 2003, Grado-Gorizia, Italy. ⟨hal-04415536⟩

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ref_biblio

Emmanuel Monfrini, Jean Lecomte, François Desbouvries, Wojciech Pieczynski. IMAGE AND SIGNAL RESTORATION USING PAIRWISE MARKOV TREES. IEEE Workshop on Statistical Signal Processing, 2003, IEEE, Sep 2003, St. Louis, United States. pp.174-177, ⟨10.1109/SSP.2003.1289372⟩. ⟨hal-04415528⟩

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2000

ref_biblio

Stéphane Derrode, Jean-Marc Boucher, Yves Delignon, René Garello, Jean-Marc Le Caillec, et al.. Segmentation statistique non supervisée des images radar. Réunion du Programme National de Télédétection Spatiale, Oct 2000, Paris, France. ⟨hal-02890076⟩

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R. Fjortoft, Jean-Marc Boucher, Yves Delignon, René Garello, Jean-Marc Le Caillec, et al.. Unsupervised Classification of Radar Images based on hidden Markov Models and Generalised Mixture Estimation. Conf on SAR Image Analysis, Modelling and Techniques, European Symposium on Remote Sensing, Jul 2000, Amsterdam, Pays-Bas. ⟨hal-02890007⟩

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Chapitre d'ouvrage

2013

ref_biblio

Wojciech Pieczynski. Exact calculation of optimal filters in hidden Markov switching long-memory chain. Essays on mathematics and statistics : Volume 3, ATINER, pp.193-202, 2013, 978-960-9549-34-9. ⟨hal-00842389⟩

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2010

ref_biblio

Wojciech Pieczynski. Triplet Markov chains and image segmentation. Inverse problems in vision and 3D tomography, iSTE;WILEY, pp.123-153, 2010, 978-1-84821-172-8. ⟨10.1002/9781118603864.ch4⟩. ⟨hal-00830288⟩

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2009

ref_biblio

Wojciech Pieczynski. Chaînes de Markov triplets et segmentation des images. Problèmes inverses en imagerie et vision, Hermès-Lavoisier, pp.127-159, 2009, IC2 : Série Traitement du Signal et de l'Image, 978-2-7462-1998-4. ⟨hal-00801932⟩

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Pré-publication, Document de travail

2023

ref_biblio

Elie Azeraf, Wojciech Pieczynski. Equivalence between conditional random fields and partially Markov models. 2023. ⟨hal-04280748v2⟩

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ref_biblio

Wojciech Pieczynski. On marginal markovianity in gaussian pairwise Markov models. 2023. ⟨hal-04296719⟩

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2018

ref_biblio

Wojciech Pieczynski, Stéphane Derrode, Ivan Gorynin, Emmanuel Monfrini. Triplet Markov models and fast smoothing in switching systems. 2018. ⟨hal-01864473⟩

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