Hidden Markov fields and unsupervised segmentation of images. - Olivier Allagnat; Jean-Marc Boucher; Dong-Chen He; Wojciech Pieczynski (ICPR (3), 1992)

Fuzzy random fields and unsupervised image segmentation. - Hélène Caillol; Alain Hillion; Wojciech Pieczynski (IEEE Trans. Geosci. Remote. Sens., 1993)

SEM algorithm and unsupervised statistical segmentation of satellite images. - Pascale Masson; Wojciech Pieczynski (IEEE Trans. Geosci. Remote. Sens., 1993)

Unsupervised adaptive image segmentation. - Zoltan Kato; Josiane Zerubia; Marc Berthod; Wojciech Pieczynski (ICASSP, 1995)

Unsupervised Bayesian segmentation using hidden Markovian fields. - Fabien Salzenstein; Wojciech Pieczynski (ICASSP, 1995)

Adaptive Mixture Estimation and Unsupervised Local Bayesian Image Segmentation. - Anrong Peng; Wojciech Pieczynski (CVGIP Graph. Model. Image Process., 1995)

Unsupervised restoration of generalized multisensor Hidden Markov Chains. - Nathalie Giordana; Wojciech Pieczynski (EUSIPCO, 1996)

Unsupervised segmentation of multisensor images using generalized hidden Markov chains. - Nathalie Giordana; Wojciech Pieczynski (ICIP (3), 1996)

Parameter Estimation in Hidden Fuzzy Markov Random Fields and Image Segmentation. - Fabien Salzenstein; Wojciech Pieczynski (CVGIP Graph. Model. Image Process., 1997)

Estimation of Generalized Multisensor Hidden Markov Chains and Unsupervised Image Segmentation. - Nathalie Giordana; Wojciech Pieczynski (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

Estimation of fuzzy Gaussian mixture and unsupervised statistical image segmentation. - Hélène Caillol; Wojciech Pieczynski; Alain Hillion (IEEE Trans. Image Process., 1997)

Estimation of generalized mixtures and its application in image segmentation. - Yves Delignon; Abdelwaheb Marzouki; Wojciech Pieczynski (IEEE Trans. Image Process., 1997)

Hidden Evidential Markov Trees and Image Segmentation. - Wojciech Pieczynski (ICIP (1), 1999)

Multiresolution Hidden Markov Chain Model and Unsupervised Image Segmentation. - Laurent Fouque; Alain Appriou; Wojciech Pieczynski (SSIAI, 2000)

Unsupervised Dempster-Shafer Fusion of Dependent Sensors. - Wojciech Pieczynski (SSIAI, 2000)

Pairwise Markov Random Fields and its Application in Textured Images Segmentation. - Wojciech Pieczynski; Abdel-Nasser Tebbache (SSIAI, 2000)

Estimation of generalized mixture in the case of correlated sensors. - Wojciech Pieczynski; Julien Bouvrais; Christophe Michel (IEEE Trans. Image Process., 2000)

Multisensor image segmentation using Dempster-Shafer fusion in Markov fields context. - Azzedine Bendjebbour; Yves Delignon; Laurent Fouque; Vincent Samson; Wojciech Pieczynski (IEEE Trans. Geosci. Remote. Sens., 2001)

Modeling non-Rayleigh speckle distribution in SAR images. - Yves Delignon; Wojciech Pieczynski (IEEE Trans. Geosci. Remote. Sens., 2002)

Particle filtering with pairwise Markov processes. - François Desbouvries; Wojciech Pieczynski (ICASSP (6), 2003)

Kalman filtering using pairwise Gaussian models. - Wojciech Pieczynski; François Desbouvries (ICASSP (6), 2003)

Unsupervised multicomponent image segmentation combining a vectorial HMC model and ICA. - Stéphane Derrode; Grégoire Mercier; Wojciech Pieczynski (ICIP (2), 2003)

Multiscale oil slick segmentation with Markov chain model. - Grégoire Mercier; Stéphane Derrode; Wojciech Pieczynski; Jean-Marc Le Caillec; René Garello (IGARSS, 2003)

Pairwise Markov Chains. - Wojciech Pieczynski (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Unsupervised classification of radar images using hidden Markov chains and hidden Markov random fields. - Roger Fjørtoft; Yves Delignon; Wojciech Pieczynski; Marc Sigelle; Florence Tupin (IEEE Trans. Geosci. Remote. Sens., 2003)

Signal and image segmentation using pairwise Markov chains. - Stéphane Derrode; Wojciech Pieczynski (IEEE Trans. Signal Process., 2004)

Copulas in Vectorial Hidden Markov Chains for Multicomponent Image Segmentation. - Nicolas Brunel; Wojciech Pieczynski; Stéphane Derrode (ICASSP (2), 2005)

Segmenting non stationary images with triplet Markov fields. - Dalila Benboudjema; Wojciech Pieczynski (ICIP (1), 2005)

Unsupervised image segmentation using triplet Markov fields. - Dalila Benboudjema; Wojciech Pieczynski (Comput. Vis. Image Underst., 2005)

Unsupervised signal restoration using hidden Markov chains with copulas. - Nicolas Brunel; Wojciech Pieczynski (Signal Process., 2005)

Unsupervised restoration of hidden nonstationary Markov chains using evidential priors. - Pierre Lanchantin; Wojciech Pieczynski (IEEE Trans. Signal Process., 2005)

Unsupervised Segmentation Of Non Stationary Images With Non Gaussian Correlated Noise Using Triplet Markov Fields And The Pearson System. - Dalila Benboudjema; Wojciech Pieczynski (ICASSP (2), 2006)

Contextual Estimation Of Hidden Markov Chains With Application To Image Segmentation. - Stéphane Derrode; Lamia Benyoussef; Wojciech Pieczynski (ICASSP (2), 2006)

Copula-based Stochastic Kernels for Abrupt Change Detection. - Grégoire Mercier; Stéphane Derrode; Wojciech Pieczynski; Jean-Marie Nicolas 002; Annabele Joannic-Chardin; Jordi Inglada (IGARSS, 2006)

Multisensor triplet Markov fields and theory of evidence. - Wojciech Pieczynski; Dalila Benboudjema (Image Vis. Comput., 2006)

Kalman filtering in pairwise Markov trees. - François Desbouvries; Jean Lecomte; Wojciech Pieczynski (Signal Process., 2006)

Unsupervised segmentation of SAR images using Triplet Markov fields and fisher noise distributions. - Dalila Benboudjema; Florence Tupin; Wojciech Pieczynski; Marc Sigelle; Jean-Marie Nicolas 002 (IGARSS, 2007)

Multisensor triplet Markov chains and theory of evidence. - Wojciech Pieczynski (Int. J. Approx. Reason., 2007)

Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields. - Dalila Benboudjema; Wojciech Pieczynski (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation. - Imen Karoui; Ronan Fablet; Jean-Marc Boucher; Wojciech Pieczynski; Jean-Marie Augustin (Pattern Anal. Appl., 2008)

Unsupervised segmentation of triplet Markov chains hidden with long-memory noise. - Pierre Lanchantin; Jérôme Lapuyade-Lahorgue; Wojciech Pieczynski (Signal Process., 2008)

Unsupervised segmentation of new semi-Markov chains hidden with long dependence noise. - Jérôme Lapuyade-Lahorgue; Wojciech Pieczynski (Signal Process., 2010)

Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas. - Nicolas Brunel; Jérôme Lapuyade-Lahorgue; Wojciech Pieczynski (IEEE Trans. Autom. Control., 2010)

Unsupervised restoration in Gaussian Pairwise Mixture Model. - Stéphane Derrode; Wojciech Pieczynski (EUSIPCO, 2011)

An extension of the ICA model using latent variables. - Selwa Rafi; Marc Castella; Wojciech Pieczynski (ICASSP, 2011)

Unsupervised segmentation of switching pairwise Markov chains. - Mohamed El Yazid Boudaren; Emmanuel Monfrini; Wojciech Pieczynski (ISPA, 2011)

Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise. - Pierre Lanchantin; Jérôme Lapuyade-Lahorgue; Wojciech Pieczynski (Signal Process., 2011)

Unsupervised segmentation of nonstationary pairwise Markov Chains using evidential priors. - Mohamed El Yazid Boudaren; Emmanuel Monfrini; Wojciech Pieczynski (EUSIPCO, 2012)

Dempster-Shafer fusion of multisensor signals in nonstationary Markovian context. - Mohamed El Yazid Boudaren; Emmanuel Monfrini; Wojciech Pieczynski; Amar Aïssani (EURASIP J. Adv. Signal Process., 2012)

Unsupervised segmentation of hidden semi-Markov non-stationary chains. - Jérôme Lapuyade-Lahorgue; Wojciech Pieczynski (Signal Process., 2012)

Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions. - Mohamed El Yazid Boudaren; Emmanuel Monfrini; Wojciech Pieczynski (IEEE Signal Process. Lett., 2012)

Segmentation d'images par modèle de mélange conjoint non gaussien. - Stéphane Derrode; Wojciech Pieczynski (Traitement du Signal, 2012)

Challenging eye segmentation using Triplet Markov spatial models. - Dalila Benboudjema; Nadia Othman; Bernadette Dorizzi; Wojciech Pieczynski (ICASSP, 2013)

Unsupervised data classification using pairwise Markov chains with automatic copulas selection. - Stéphane Derrode; Wojciech Pieczynski (Comput. Stat. Data Anal., 2013)

Separation of instantaneous mixtures of a particular set of dependent sources using classical ICA methods. - Marc Castella; Selwa Rafi; Pierre Comon; Wojciech Pieczynski (EURASIP J. Adv. Signal Process., 2013)

Exact Fast Computation of Optimal Filter in Gaussian Switching Linear Systems. - Stéphane Derrode; Wojciech Pieczynski (IEEE Signal Process. Lett., 2013)

Fast filter in non-linear systems with application to stochastic volatility model. - Stéphane Derrode; Wojciech Pieczynski (EUSIPCO, 2014)

Phasic Triplet Markov Chains. - Mohamed El Yazid Boudaren; Emmanuel Monfrini; Wojciech Pieczynski; Amar Aissani (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Subsampling-based HMC parameter estimation with application to large datasets classification. - Stéphane Derrode; Lamia Benyoussef; Wojciech Pieczynski (Signal Image Video Process., 2014)

Filtrage statistique optimal rapide dans des systèmes linéaires à sauts non stationnaires. - Noufel Abbassi; Stéphane Derrode; François Desbouvries; Yohan Petetin; Wojciech Pieczynski (Traitement du Signal, 2014)

Exact fast smoothing in switching models with application to stochastic volatility. - Ivan Gorynin; Stéphane Derrode; Emmanuel Monfrini; Wojciech Pieczynski (EUSIPCO, 2015)

Optimal Filter Approximations in Conditionally Gaussian Pairwise Markov Switching Models. - Noufel Abbassi; Dalila Benboudjema; Stéphane Derrode; Wojciech Pieczynski (IEEE Trans. Autom. Control., 2015)

Evidential Correlated Gaussian Mixture Markov Model for Pixel Labeling Problem. - Lin An; Ming Li 004; Mohamed El Yazid Boudaren; Wojciech Pieczynski (BELIEF, 2016)

Unsupervised learning of Markov-switching stochastic volatility with an application to market data. - Ivan Gorynin; Emmanuel Monfrini; Wojciech Pieczynski (MLSP, 2016)

Parameter estimation in conditionally Gaussian pairwise Markov switching models and unsupervised smoothing. - Fei Zheng 002; Stéphane Derrode; Wojciech Pieczynski (MLSP, 2016)

An Exact Smoother in a Fuzzy Jump Markov Switching Model. - Zied Bouyahia; Stéphane Derrode; Wojciech Pieczynski (RFMI, 2016)

Fast filtering with new sparse transition Markov chains. - Ivan Gorynin; Emmanuel Monfrini; Wojciech Pieczynski (SSP, 2016)

Dempster-Shafer fusion of evidential pairwise Markov fields. - Mohamed El Yazid Boudaren; Lin An; Wojciech Pieczynski (Int. J. Approx. Reason., 2016)

Unsupervised Segmentation of SAR Images Using Gaussian Mixture-Hidden Evidential Markov Fields. - Mohamed El Yazid Boudaren; Lin An; Wojciech Pieczynski (IEEE Geosci. Remote. Sens. Lett., 2016)

Unsupervised classification using hidden Markov chain with unknown noise copulas and margins. - Stéphane Derrode; Wojciech Pieczynski (Signal Process., 2016)

Unsupervised Segmentation of Markov Random Fields Corrupted by Nonstationary Noise. - Ahmed Habbouchi; Mohamed El Yazid Boudaren; Amar Aissani; Wojciech Pieczynski (IEEE Signal Process. Lett., 2016)

Unified Representation of Sets of Heterogeneous Markov Transition Matrices. - Mohamed El Yazid Boudaren; Wojciech Pieczynski (IEEE Trans. Fuzzy Syst., 2016)

Dempster-Shafer Fusion of Evidential Pairwise Markov Chains. - Mohamed El Yazid Boudaren; Wojciech Pieczynski (IEEE Trans. Fuzzy Syst., 2016)

Pairwise Markov models for stock index forecasting. - Ivan Gorynin; Emmanuel Monfrini; Wojciech Pieczynski (EUSIPCO, 2017)

Unsupervised learning of asymmetric high-order autoregressive stochastic volatility model. - Ivan Gorynin; Emmanuel Monfrini; Wojciech Pieczynski (ICASSP, 2017)

Unsupervised Segmentation of Nonstationary Data using Triplet Markov Chains. - Mohamed El Yazid Boudaren; Emmanuel Monfrini; Kadda Beghdad Bey; Ahmed Habbouchi; Wojciech Pieczynski (ICEIS (1), 2017)

Triplet Markov Chains Based- Estimation of Nonstationary Latent Variables Hidden with Independent Noise. - Mohamed El Yazid Boudaren; Emmanuel Monfrini; Kadda Beghdad Bey; Ahmed Habbouchi; Wojciech Pieczynski (ICEIS (Revised Selected Papers), 2017)

Fast smoothing in switching approximations of non-linear and non-Gaussian models. - Ivan Gorynin; Stéphane Derrode; Emmanuel Monfrini; Wojciech Pieczynski (Comput. Stat. Data Anal., 2017)

Fast Filtering in Switching Approximations of Nonlinear Markov Systems With Applications to Stochastic Volatility. - Ivan Gorynin; Stéphane Derrode; Emmanuel Monfrini; Wojciech Pieczynski (IEEE Trans. Autom. Control., 2017)

Free-Walking 3D Pedestrian Large Trajectory Reconstruction from IMU Sensors. - Haoyu Li; Stéphane Derrode; Lamia Benyoussef; Wojciech Pieczynski (EUSIPCO, 2018)

Unsupervised segmentation of hidden Markov fields corrupted by correlated non-Gaussian noise. - Lin An; Ming Li 004; Mohamed El Yazid Boudaren; Wojciech Pieczynski (Int. J. Approx. Reason., 2018)

Assessing the segmentation performance of pairwise and triplet Markov models. - Ivan Gorynin; Hugo Gangloff; Emmanuel Monfrini; Wojciech Pieczynski (Signal Process., 2018)

An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model. - Haoyu Li; Stéphane Derrode; Wojciech Pieczynski (Neurocomputing, 2019)

Lower Limb Locomotion Activity Recognition of Healthy Individuals Using Semi-Markov Model and Single Wearable Inertial Sensor. - Haoyu Li; Stéphane Derrode; Wojciech Pieczynski (Sensors, 2019)

Parameter Estimation in Switching Markov Systems and Unsupervised Smoothing. - Fei Zheng 002; Stéphane Derrode; Wojciech Pieczynski (IEEE Trans. Autom. Control., 2019)

Fast Segmentation of Markov Random Fields Corrupted by Correlated Noise. - Ahmed Habbouchi; Mohamed El Yazid Boudaren; Amar Aïssani; Wojciech Pieczynski (CSA, 2020)

Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging. - Elie Azeraf; Emmanuel Monfrini; Emmanuel Vignon; Wojciech Pieczynski (CoRR, 2020)

Using the Naive Bayes as a discriminative classifier. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (CoRR, 2020)

State estimation in pairwise Markov models with improved robustness using unbiased FIR filtering. - Frédéric Lehmann; Wojciech Pieczynski (Signal Process., 2020)

Semi-supervised optimal recursive filtering and smoothing in non-Gaussian Markov switching models. - Fei Zheng 002; Stéphane Derrode; Wojciech Pieczynski (Signal Process., 2020)

Suboptimal Kalman Filtering in Triplet Markov Models Using Model Order Reduction. - Frédéric Lehmann; Wojciech Pieczynski (IEEE Signal Process. Lett., 2020)

Filtering in Gaussian Linear Systems With Fuzzy Switches. - Zied Bouyahia; Stéphane Derrode; Wojciech Pieczynski (IEEE Trans. Fuzzy Syst., 2020)

Highly Fast Text Segmentation With Pairwise Markov Chains. - Elie Azeraf; Emmanuel Monfrini; Emmanuel Vignon; Wojciech Pieczynski (CIST, 2021)

Fast Image Segmentation with Contextual Scan and Markov Chains. - Clément Fernandes; Thomas Monti; Emmanuel Monfrini; Wojciech Pieczynski (EUSIPCO, 2021)

Introducing the Hidden Neural Markov Chain Framework. - Elie Azeraf; Emmanuel Monfrini; Emmanuel Vignon; Wojciech Pieczynski (ICAART (2), 2021)

Using the Naive Bayes as a discriminative model. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (ICMLC, 2021)

One Convolutional Layer Model For Parking Occupancy Detection. - Soumia Goumiri; Dalila Benboudjema; Wojciech Pieczynski (ISC2, 2021)

Toward a Cost-Effective Motorway Traffic State Estimation From Sparse Speed and GPS Data. - Zied Bouyahia; Hedi Haddad; Stéphane Derrode; Wojciech Pieczynski (IEEE Access, 2021)

On Equivalence between Linear-chain Conditional Random Fields and Hidden Markov Chains. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (ICAART (3), 2022)

Improving Usual Naive Bayes Classifier Performances with Neural Naive Bayes based Models. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (ICPRAM, 2022)

Deriving discriminative classifiers from generative models. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (CoRR, 2022)

Kernel smoothing classification of multiattribute data in the belief function framework: Application to multichannel image segmentation. - Ali Hamache; Mohamed El Yazid Boudaren; Wojciech Pieczynski (Multim. Tools Appl., 2022)

Reduced-Dimension Filtering in Triplet Markov Models. - Frédéric Lehmann; Wojciech Pieczynski (IEEE Trans. Autom. Control., 2022)

Linear chain conditional random fields, hidden Markov models, and related classifiers. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (CoRR, 2023)

Equivalence between LC-CRF and HMM, and Discriminative Computing of HMM-Based MPM and MAP. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (Algorithms, 2023)

Traffic state prediction using conditionally Gaussian observed Markov fuzzy switching model. - Zied Bouyahia; Hedi Haddad; Stéphane Derrode; Wojciech Pieczynski (J. Intell. Transp. Syst., 2023)

A new hybrid model of convolutional neural networks and hidden Markov chains for image classification. - Soumia Goumiri; Dalila Benboudjema; Wojciech Pieczynski (Neural Comput. Appl., 2023)

Non-stationary data segmentation with hidden evidential semi-Markov chains. - Clément Fernandes; Wojciech Pieczynski (Int. J. Approx. Reason., 2023)