Wojciech Pieczynski

113 papers C 5Misc 6Journal 69Unranked 33
YearRankTypeTitle / Venue / Authors
2025 J jnl
Contextual Peano Scan and Fast Image Segmentation Using Hidden and Evidential Markov Chains.
CoRR
Clément Fernandes, Wojciech Pieczynski
2023 J jnl
A new hybrid model of convolutional neural networks and hidden Markov chains for image classification.
Neural Comput. Appl.
Soumia Goumiri, Dalila Benboudjema, Wojciech Pieczynski
2023 J jnl
Equivalence between LC-CRF and HMM, and Discriminative Computing of HMM-Based MPM and MAP.
Algorithms
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2023 J jnl
Linear chain conditional random fields, hidden Markov models, and related classifiers.
CoRR
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2023 J jnl
Non-stationary data segmentation with hidden evidential semi-Markov chains.
Int. J. Approx. Reason.
Clément Fernandes, Wojciech Pieczynski
2023 J jnl
Traffic state prediction using conditionally Gaussian observed Markov fuzzy switching model.
J. Intell. Transp. Syst.
Zied Bouyahia, Hedi Haddad, Stéphane Derrode, Wojciech Pieczynski
2022 J jnl
Deriving discriminative classifiers from generative models.
CoRR
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2022 C conf
Improving Usual Naive Bayes Classifier Performances with Neural Naive Bayes based Models.
ICPRAM
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2022 J jnl
Kernel smoothing classification of multiattribute data in the belief function framework: Application to multichannel image segmentation.
Multim. Tools Appl.
Ali Hamache, Mohamed El Yazid Boudaren, Wojciech Pieczynski
2022 — conf
On Equivalence between Linear-chain Conditional Random Fields and Hidden Markov Chains.
ICAART (3)
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2022 J jnl
Reduced-Dimension Filtering in Triplet Markov Models.
IEEE Trans. Autom. Control.
Frédéric Lehmann, Wojciech Pieczynski
2021 — conf
Fast Image Segmentation with Contextual Scan and Markov Chains.
EUSIPCO
Clément Fernandes, Thomas Monti, Emmanuel Monfrini, Wojciech Pieczynski
2021 — conf
Highly Fast Text Segmentation With Pairwise Markov Chains.
CIST
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
2021 J jnl
Highly Fast Text Segmentation With Pairwise Markov Chains.
CoRR
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
2021 J jnl
Improving usual Naive Bayes classifier performances with Neural Naive Bayes based models.
CoRR
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2021 — conf
Introducing the Hidden Neural Markov Chain Framework.
ICAART (2)
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
2021 J jnl
Introducing the Hidden Neural Markov Chain framework.
CoRR
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
2021 J jnl
On equivalence between linear-chain conditional random fields and hidden Markov chains.
CoRR
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2021 — conf
One Convolutional Layer Model For Parking Occupancy Detection.
ISC2
Soumia Goumiri, Dalila Benboudjema, Wojciech Pieczynski
2021 J jnl
Toward a Cost-Effective Motorway Traffic State Estimation From Sparse Speed and GPS Data.
IEEE Access
Zied Bouyahia, Hedi Haddad, Stéphane Derrode, Wojciech Pieczynski
2021 Misc conf
Using the Naive Bayes as a discriminative model.
ICMLC
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2020 — conf
Fast Segmentation of Markov Random Fields Corrupted by Correlated Noise.
CSA
Ahmed Habbouchi, Mohamed El Yazid Boudaren, Amar Aïssani, Wojciech Pieczynski
2020 J jnl
Filtering in Gaussian Linear Systems With Fuzzy Switches.
IEEE Trans. Fuzzy Syst.
Zied Bouyahia, Stéphane Derrode, Wojciech Pieczynski
2020 J jnl
Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging.
CoRR
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
2020 J jnl
Semi-supervised optimal recursive filtering and smoothing in non-Gaussian Markov switching models.
Signal Process.
Fei Zheng, Stéphane Derrode, Wojciech Pieczynski
2020 J jnl
State estimation in pairwise Markov models with improved robustness using unbiased FIR filtering.
Signal Process.
Frédéric Lehmann, Wojciech Pieczynski
2020 J jnl
Suboptimal Kalman Filtering in Triplet Markov Models Using Model Order Reduction.
IEEE Signal Process. Lett.
Frédéric Lehmann, Wojciech Pieczynski
2020 J jnl
Using the Naive Bayes as a discriminative classifier.
CoRR
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2019 J jnl
An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model.
Neurocomputing
Haoyu Li, Stéphane Derrode, Wojciech Pieczynski
2019 J jnl
Lower Limb Locomotion Activity Recognition of Healthy Individuals Using Semi-Markov Model and Single Wearable Inertial Sensor.
Sensors
Haoyu Li, Stéphane Derrode, Wojciech Pieczynski
2019 J jnl
Parameter Estimation in Switching Markov Systems and Unsupervised Smoothing.
IEEE Trans. Autom. Control.
Fei Zheng, Stéphane Derrode, Wojciech Pieczynski
2018 J jnl
Assessing the segmentation performance of pairwise and triplet Markov models.
Signal Process.
Ivan Gorynin, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski
2018 — conf
Free-Walking 3D Pedestrian Large Trajectory Reconstruction from IMU Sensors.
EUSIPCO
Haoyu Li, Stéphane Derrode, Lamia Benyoussef, Wojciech Pieczynski
2018 J jnl
Unsupervised segmentation of hidden Markov fields corrupted by correlated non-Gaussian noise.
Int. J. Approx. Reason.
Lin An, Ming Li, Mohamed El Yazid Boudaren, Wojciech Pieczynski
2017 J jnl
Fast Filtering in Switching Approximations of Nonlinear Markov Systems With Applications to Stochastic Volatility.
IEEE Trans. Autom. Control.
Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini, Wojciech Pieczynski
2017 J jnl
Fast smoothing in switching approximations of non-linear and non-Gaussian models.
Comput. Stat. Data Anal.
Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini, Wojciech Pieczynski
2017 — conf
Pairwise Markov models for stock index forecasting.
EUSIPCO
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski
2017 — conf
Triplet Markov Chains Based- Estimation of Nonstationary Latent Variables Hidden with Independent Noise.
ICEIS (Revised Selected Papers)
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Kadda Beghdad Bey, Ahmed Habbouchi, Wojciech Pieczynski
2017 — conf
Unsupervised Segmentation of Nonstationary Data using Triplet Markov Chains.
ICEIS (1)
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Kadda Beghdad Bey, Ahmed Habbouchi, Wojciech Pieczynski
2017 Misc conf
Unsupervised learning of asymmetric high-order autoregressive stochastic volatility model.
ICASSP
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski
2016 — conf
An Exact Smoother in a Fuzzy Jump Markov Switching Model.
RFMI
Zied Bouyahia, Stéphane Derrode, Wojciech Pieczynski
2016 J jnl
Dempster-Shafer Fusion of Evidential Pairwise Markov Chains.
IEEE Trans. Fuzzy Syst.
Mohamed El Yazid Boudaren, Wojciech Pieczynski
2016 J jnl
Dempster-Shafer fusion of evidential pairwise Markov fields.
Int. J. Approx. Reason.
Mohamed El Yazid Boudaren, Lin An, Wojciech Pieczynski
2016 — conf
Evidential Correlated Gaussian Mixture Markov Model for Pixel Labeling Problem.
BELIEF
Lin An, Ming Li, Mohamed El Yazid Boudaren, Wojciech Pieczynski
2016 — conf
Fast filtering with new sparse transition Markov chains.
SSP
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski
2016 — conf
Parameter estimation in conditionally Gaussian pairwise Markov switching models and unsupervised smoothing.
MLSP
Fei Zheng, Stéphane Derrode, Wojciech Pieczynski
2016 J jnl
Unified Representation of Sets of Heterogeneous Markov Transition Matrices.
IEEE Trans. Fuzzy Syst.
Mohamed El Yazid Boudaren, Wojciech Pieczynski
2016 J jnl
Unsupervised Segmentation of Markov Random Fields Corrupted by Nonstationary Noise.
IEEE Signal Process. Lett.
Ahmed Habbouchi, Mohamed El Yazid Boudaren, Amar Aissani, Wojciech Pieczynski
2016 J jnl
Unsupervised Segmentation of SAR Images Using Gaussian Mixture-Hidden Evidential Markov Fields.
IEEE Geosci. Remote. Sens. Lett.
Mohamed El Yazid Boudaren, Lin An, Wojciech Pieczynski
2016 J jnl
Unsupervised classification using hidden Markov chain with unknown noise copulas and margins.
Signal Process.
Stéphane Derrode, Wojciech Pieczynski
2016 — conf
Unsupervised learning of Markov-switching stochastic volatility with an application to market data.
MLSP
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski
2015 — conf
Exact fast smoothing in switching models with application to stochastic volatility.
EUSIPCO
Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini, Wojciech Pieczynski
2015 J jnl
Optimal Filter Approximations in Conditionally Gaussian Pairwise Markov Switching Models.
IEEE Trans. Autom. Control.
Noufel Abbassi, Dalila Benboudjema, Stéphane Derrode, Wojciech Pieczynski
2014 — conf
Fast filter in non-linear systems with application to stochastic volatility model.
EUSIPCO
Stéphane Derrode, Wojciech Pieczynski
2014 J jnl
Filtrage statistique optimal rapide dans des systèmes linéaires à sauts non stationnaires.
Traitement du Signal
Noufel Abbassi, Stéphane Derrode, François Desbouvries, Yohan Petetin, Wojciech Pieczynski
2014 J jnl
Phasic Triplet Markov Chains.
IEEE Trans. Pattern Anal. Mach. Intell.
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski, Amar Aissani
2014 J jnl
Subsampling-based HMC parameter estimation with application to large datasets classification.
Signal Image Video Process.
Stéphane Derrode, Lamia Benyoussef, Wojciech Pieczynski
2013 Misc conf
Challenging eye segmentation using Triplet Markov spatial models.
ICASSP
Dalila Benboudjema, Nadia Othman, Bernadette Dorizzi, Wojciech Pieczynski
2013 J jnl
Exact Fast Computation of Optimal Filter in Gaussian Switching Linear Systems.
IEEE Signal Process. Lett.
Stéphane Derrode, Wojciech Pieczynski
2013 J jnl
Separation of instantaneous mixtures of a particular set of dependent sources using classical ICA methods.
EURASIP J. Adv. Signal Process.
Marc Castella, Selwa Rafi, Pierre Comon, Wojciech Pieczynski
2013 J jnl
Unsupervised data classification using pairwise Markov chains with automatic copulas selection.
Comput. Stat. Data Anal.
Stéphane Derrode, Wojciech Pieczynski
2012 J jnl
Dempster-Shafer fusion of multisensor signals in nonstationary Markovian context.
EURASIP J. Adv. Signal Process.
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski, Amar Aïssani
2012 J jnl
Segmentation d'images par modèle de mélange conjoint non gaussien.
Traitement du Signal
Stéphane Derrode, Wojciech Pieczynski
2012 J jnl
Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions.
IEEE Signal Process. Lett.
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski
2012 J jnl
Unsupervised segmentation of hidden semi-Markov non-stationary chains.
Signal Process.
Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski
2012 — conf
Unsupervised segmentation of nonstationary pairwise Markov Chains using evidential priors.
EUSIPCO
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski
2011 Misc conf
An extension of the ICA model using latent variables.
ICASSP
Selwa Rafi, Marc Castella, Wojciech Pieczynski
2011 — conf
Unsupervised restoration in Gaussian Pairwise Mixture Model.
EUSIPCO
Stéphane Derrode, Wojciech Pieczynski
2011 J jnl
Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise.
Signal Process.
Pierre Lanchantin, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski
2011 C conf
Unsupervised segmentation of switching pairwise Markov chains.
ISPA
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski
2010 J jnl
Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas.
IEEE Trans. Autom. Control.
Nicolas Brunel, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski
2010 J jnl
Unsupervised segmentation of new semi-Markov chains hidden with long dependence noise.
Signal Process.
Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski
2008 J jnl
Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation.
Pattern Anal. Appl.
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Wojciech Pieczynski, Jean-Marie Augustin
2008 J jnl
Unsupervised segmentation of triplet Markov chains hidden with long-memory noise.
Signal Process.
Pierre Lanchantin, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski
2007 J jnl
Multisensor triplet Markov chains and theory of evidence.
Int. J. Approx. Reason.
Wojciech Pieczynski
2007 J jnl
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields.
IEEE Trans. Pattern Anal. Mach. Intell.
Dalila Benboudjema, Wojciech Pieczynski
2007 C conf
Unsupervised segmentation of SAR images using Triplet Markov fields and fisher noise distributions.
IGARSS
Dalila Benboudjema, Florence Tupin, Wojciech Pieczynski, Marc Sigelle, Jean-Marie Nicolas
2006 — conf
Contextual Estimation Of Hidden Markov Chains With Application To Image Segmentation.
ICASSP (2)
Stéphane Derrode, Lamia Benyoussef, Wojciech Pieczynski
2006 C conf
Copula-based Stochastic Kernels for Abrupt Change Detection.
IGARSS
Grégoire Mercier, Stéphane Derrode, Wojciech Pieczynski, Jean-Marie Nicolas, Annabele Joannic-Chardin, Jordi Inglada
2006 J jnl
Kalman filtering in pairwise Markov trees.
Signal Process.
François Desbouvries, Jean Lecomte, Wojciech Pieczynski
2006 J jnl
Multisensor triplet Markov fields and theory of evidence.
Image Vis. Comput.
Wojciech Pieczynski, Dalila Benboudjema
2006 — conf
Unsupervised Segmentation Of Non Stationary Images With Non Gaussian Correlated Noise Using Triplet Markov Fields And The Pearson System.
ICASSP (2)
Dalila Benboudjema, Wojciech Pieczynski
2005 — conf
Copulas in Vectorial Hidden Markov Chains for Multicomponent Image Segmentation.
ICASSP (2)
Nicolas Brunel, Wojciech Pieczynski, Stéphane Derrode
2005 — conf
Segmenting non stationary images with triplet Markov fields.
ICIP (1)
Dalila Benboudjema, Wojciech Pieczynski
2005 J jnl
Unsupervised image segmentation using triplet Markov fields.
Comput. Vis. Image Underst.
Dalila Benboudjema, Wojciech Pieczynski
2005 J jnl
Unsupervised restoration of hidden nonstationary Markov chains using evidential priors.
IEEE Trans. Signal Process.
Pierre Lanchantin, Wojciech Pieczynski
2005 J jnl
Unsupervised signal restoration using hidden Markov chains with copulas.
Signal Process.
Nicolas Brunel, Wojciech Pieczynski
2004 J jnl
Signal and image segmentation using pairwise Markov chains.
IEEE Trans. Signal Process.
Stéphane Derrode, Wojciech Pieczynski
2003 — conf
Kalman filtering using pairwise Gaussian models.
ICASSP (6)
Wojciech Pieczynski, François Desbouvries
2003 C conf
Multiscale oil slick segmentation with Markov chain model.
IGARSS
Grégoire Mercier, Stéphane Derrode, Wojciech Pieczynski, Jean-Marc Le Caillec, René Garello
2003 J jnl
Pairwise Markov Chains.
IEEE Trans. Pattern Anal. Mach. Intell.
Wojciech Pieczynski
2003 — conf
Particle filtering with pairwise Markov processes.
ICASSP (6)
François Desbouvries, Wojciech Pieczynski
2003 J jnl
Unsupervised classification of radar images using hidden Markov chains and hidden Markov random fields.
IEEE Trans. Geosci. Remote. Sens.
Roger Fjørtoft, Yves Delignon, Wojciech Pieczynski, Marc Sigelle, Florence Tupin
2003 — conf
Unsupervised multicomponent image segmentation combining a vectorial HMC model and ICA.
ICIP (2)
Stéphane Derrode, Grégoire Mercier, Wojciech Pieczynski
2002 J jnl
Modeling non-Rayleigh speckle distribution in SAR images.
IEEE Trans. Geosci. Remote. Sens.
Yves Delignon, Wojciech Pieczynski
2001 J jnl
Multisensor image segmentation using Dempster-Shafer fusion in Markov fields context.
IEEE Trans. Geosci. Remote. Sens.
Azzedine Bendjebbour, Yves Delignon, Laurent Fouque, Vincent Samson, Wojciech Pieczynski
2000 J jnl
Estimation of generalized mixture in the case of correlated sensors.
IEEE Trans. Image Process.
Wojciech Pieczynski, Julien Bouvrais, Christophe Michel
2000 — conf
Multiresolution Hidden Markov Chain Model and Unsupervised Image Segmentation.
SSIAI
Laurent Fouque, Alain Appriou, Wojciech Pieczynski
2000 — conf
Pairwise Markov Random Fields and its Application in Textured Images Segmentation.
SSIAI
Wojciech Pieczynski, Abdel-Nasser Tebbache
2000 — conf
Unsupervised Dempster-Shafer Fusion of Dependent Sensors.
SSIAI
Wojciech Pieczynski
1999 — conf
Hidden Evidential Markov Trees and Image Segmentation.
ICIP (1)
Wojciech Pieczynski
1997 J jnl
Estimation of Generalized Multisensor Hidden Markov Chains and Unsupervised Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Nathalie Giordana, Wojciech Pieczynski
1997 J jnl
Estimation of fuzzy Gaussian mixture and unsupervised statistical image segmentation.
IEEE Trans. Image Process.
Hélène Caillol, Wojciech Pieczynski, Alain Hillion
1997 J jnl
Estimation of generalized mixtures and its application in image segmentation.
IEEE Trans. Image Process.
Yves Delignon, Abdelwaheb Marzouki, Wojciech Pieczynski
1997 J jnl
Parameter Estimation in Hidden Fuzzy Markov Random Fields and Image Segmentation.
CVGIP Graph. Model. Image Process.
Fabien Salzenstein, Wojciech Pieczynski
1996 — conf
Unsupervised restoration of generalized multisensor Hidden Markov Chains.
EUSIPCO
Nathalie Giordana, Wojciech Pieczynski
1996 — conf
Unsupervised segmentation of multisensor images using generalized hidden Markov chains.
ICIP (3)
Nathalie Giordana, Wojciech Pieczynski
1995 J jnl
Adaptive Mixture Estimation and Unsupervised Local Bayesian Image Segmentation.
CVGIP Graph. Model. Image Process.
Anrong Peng, Wojciech Pieczynski
1995 Misc conf
Unsupervised Bayesian segmentation using hidden Markovian fields.
ICASSP
Fabien Salzenstein, Wojciech Pieczynski
1995 Misc conf
Unsupervised adaptive image segmentation.
ICASSP
Zoltan Kato, Josiane Zerubia, Marc Berthod, Wojciech Pieczynski
1993 J jnl
Fuzzy random fields and unsupervised image segmentation.
IEEE Trans. Geosci. Remote. Sens.
Hélène Caillol, Alain Hillion, Wojciech Pieczynski
1993 J jnl
SEM algorithm and unsupervised statistical segmentation of satellite images.
IEEE Trans. Geosci. Remote. Sens.
Pascale Masson, Wojciech Pieczynski
1992 — conf
Hidden Markov fields and unsupervised segmentation of images.
ICPR (3)
Olivier Allagnat, Jean-Marc Boucher, Dong-Chen He, Wojciech Pieczynski