W. Pieczynski

J.-M. Boucher, W. Pieczynski, O. Allagnat, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

Fast Unsupervised Statistical Image Segmentation Method

W. Pieczynski, H. Caillol, M. Emsalem, 1992, [Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium.

Estimation Of Mixture And Unsupervised Segmentation Of Images

W. Pieczynski, N. Marhic, W. Pieczynski, 1991, [Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management.

Fast Filtering in Switching Approximations of Nonlinear Markov Systems With Applications to Stochastic Volatility

Emmanuel Monfrini, Wojciech Pieczynski, Stéphane Derrode, 2017, IEEE Transactions on Automatic Control.

Multiscale oil slick segmentation with Markov chain model

W. Pieczynski, Jean-Marc Le Caillec, R. Garello, 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

A new hybrid model of convolutional neural networks and hidden Markov chains for image classification

W. Pieczynski, D. Benboudjema, Soumia Goumiri, 2023, Neural Computing and Applications.

Assessing the segmentation performance of pairwise and triplet Markov models

Emmanuel Monfrini, Wojciech Pieczynski, Ivan Gorynin, 2018, Signal Process..

Unsupervised classification using hidden Markov chain with unknown noise copulas and margins

Stéphane Derrode, Wojciech Pieczynski, W. Pieczynski, 2016, Signal Process..

Unsupervised classification of radar images using hidden Markov chains and hidden Markov random fields

Florence Tupin, Marc Sigelle, Wojciech Pieczynski, 2003, IEEE Trans. Geosci. Remote. Sens..

Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging pdf

Emmanuel Monfrini, Wojciech Pieczynski, Emmanuel Vignon, 2020, ArXiv.

Modeling non-Rayleigh speckle distribution in SAR images

W. Pieczynski, Y. Delignon, 2002, IEEE Trans. Geosci. Remote. Sens..

Dempster–Shafer fusion of multisensor signals in nonstationary Markovian context

W. Pieczynski, M. E. Boudaren, E. Monfrini, 2012, EURASIP Journal on Advances in Signal Processing.

Triplet Markov Chains Based- Estimation of Nonstationary Latent Variables Hidden with Independent Noise

Emmanuel Monfrini, Mohamed El Yazid Boudaren, Wojciech Pieczynski, 2017, ICEIS.

Dempster–Shafer Fusion of Evidential Pairwise Markov Chains

Mohamed El Yazid Boudaren, Wojciech Pieczynski, W. Pieczynski, 2016, IEEE Transactions on Fuzzy Systems.

Unsupervised Segmentation of SAR Images Using Gaussian Mixture-Hidden Evidential Markov Fields

Mohamed El Yazid Boudaren, Wojciech Pieczynski, Lin An, 2016, IEEE Geoscience and Remote Sensing Letters.

Dempster-Shafer fusion of evidential pairwise Markov fields

Mohamed El Yazid Boudaren, Wojciech Pieczynski, Lin An, 2016, Int. J. Approx. Reason..

Unified Representation of Sets of Heterogeneous Markov Transition Matrices

Mohamed El Yazid Boudaren, Wojciech Pieczynski, W. Pieczynski, 2016, IEEE Transactions on Fuzzy Systems.

Phasic Triplet Markov Chains

Emmanuel Monfrini, Amar Aissani, Mohamed El Yazid Boudaren, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Unsupervised segmentation of nonstationary pairwise Markov Chains using evidential priors

Emmanuel Monfrini, Mohamed El Yazid Boudaren, Wojciech Pieczynski, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Unsupervised Segmentation of Nonstationary Data using Triplet Markov Chains

Emmanuel Monfrini, Mohamed El Yazid Boudaren, Wojciech Pieczynski, 2017, ICEIS.

Unsupervised segmentation of non stationary data hidden with non stationary noise

Emmanuel Monfrini, Mohamed El Yazid Boudaren, Wojciech Pieczynski, 2011, International Workshop on Systems, Signal Processing and their Applications, WOSSPA.

Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise

Pierre Lanchantin, Wojciech Pieczynski, Jérôme Lapuyade-Lahorgue, 2011, Signal Process..

Multisensor triplet Markov chains and theory of evidence

Wojciech Pieczynski, W. Pieczynski, 2007, Int. J. Approx. Reason..

Unsupervised restoration of hidden nonstationary Markov chains using evidential priors

Pierre Lanchantin, Wojciech Pieczynski, W. Pieczynski, 2005, IEEE Transactions on Signal Processing.

Unsupervised segmentation of hidden semi-Markov non-stationary chains

Wojciech Pieczynski, Jérôme Lapuyade-Lahorgue, W. Pieczynski, 2006, Signal Process..

Multisensor triplet Markov fields and theory of evidence

Wojciech Pieczynski, Dalila Benboudjema, W. Pieczynski, 2006, Image Vis. Comput..

Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation

Imen Karoui, Ronan Fablet, Jean-Marc Boucher, 2008, Pattern Analysis and Applications.

SWITCHING PAIRWISE MARKOV CHAINS FOR NON STATIONARY TEXTURED IMAGES SEGMENTATION

Emmanuel Monfrini, Mohamed El Yazid Boudaren, Wojciech Pieczynski, 2011 .

Parametric estimation methods of multivariate data for multicomponent image segmentation

W. Pieczynski, Nicolas Brunel, Stéphane Derrode, 2005 .

Partially Markov models and unsupervised segmentation of semi-Markov chains hidden with long dependence noise

Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski, W. Pieczynski, 2007 .

Fast filtering with new sparse transition Markov chains

Emmanuel Monfrini, Wojciech Pieczynski, Ivan Gorynin, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Kernel smoothing classification of multiattribute data in the belief function framework: Application to multichannel image segmentation

W. Pieczynski, M. E. Boudaren, Ali Hamache, 2022, Multimedia Tools and Applications.

Toward a Cost-Effective Motorway Traffic State Estimation From Sparse Speed and GPS Data

Stéphane Derrode, Hedi Haddad, Wojciech Pieczynski, 2021, IEEE Access.

Unsupervised pedestrian trajectory reconstruction from IMU sensors

Stéphane Derrode, Wojciech Pieczynski, Lamia Benyoussef, 2018 .

On equivalence between linear-chain conditional random fields and hidden Markov chains

W. Pieczynski, E. Monfrini, E. Azeraf, 2021, ICAART.

Improving usual Naive Bayes classifier performances with Neural Naive Bayes based models pdf

Emmanuel Monfrini, Wojciech Pieczynski, Elie Azeraf, 2021, ICPRAM.

Introducing the Hidden Neural Markov Chain framework

Emmanuel Monfrini, Wojciech Pieczynski, Emmanuel Vignon, 2021, ICAART.

Highly Fast Text Segmentation With Pairwise Markov Chains

W. Pieczynski, E. Monfrini, E. Azeraf, 2020, 2020 6th IEEE Congress on Information Science and Technology (CiSt).

Fuzzy random fields and unsupervised image segmentation

Alain Hillion, Wojciech Pieczynski, Hélène Caillol, 1993, IEEE Trans. Geosci. Remote. Sens..

Pairwise Markov Chains

Wojciech Pieczynski, W. Pieczynski, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Statistical image segmentation using triplet Markov fields

Pierre Lanchantin, Wojciech Pieczynski, Dalila Benboudjema, 2003, SPIE Remote Sensing.

Adaptive Mixture Estimation and Unsupervised Local Bayesian Image Segmentation

Wojciech Pieczynski, Anrong Peng, W. Pieczynski, 1995, CVGIP Graph. Model. Image Process..

UNSUPERVISED NON STATIONARY IMAGE SEGMENTATION USING TRIPLET MARKOV CHAINS

Pierre Lanchantin, Wojciech Pieczynski, W. Pieczynski, 2004 .

Copulas in vectorial hidden Markov chains for multicomponent image segmentation

Nicolas Brunel, Stéphane Derrode, Wojciech Pieczynski, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Kalman filtering using pairwise Gaussian models

Wojciech Pieczynski, François Desbouvries, W. Pieczynski, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

New trends in Markov models and related learning to restore data

Florence Forbes, Wojciech Pieczynski, W. Pieczynski, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

Unsupervised learning of Markov-switching stochastic volatility with an application to market data

Emmanuel Monfrini, Wojciech Pieczynski, Ivan Gorynin, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Semi-supervised optimal recursive filtering and smoothing in non-Gaussian Markov switching models

Wojciech Pieczynski, Stéphane Derrode, Fei Zheng, 2020, Signal Process..

An extension of the ICA model using latent variables

Marc Castella, Wojciech Pieczynski, Selwa Rafi, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Triplet Markov Chains and Image Segmentation

Wojciech Pieczynski, W. Pieczynski, 2013 .

Unsupervised segmentation of switching pairwise Markov chains

Emmanuel Monfrini, Mohamed El Yazid Boudaren, Wojciech Pieczynski, 2011, 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA).

Unsupervised segmentation of triplet Markov chains hidden with long-memory noise

Pierre Lanchantin, Wojciech Pieczynski, Jérôme Lapuyade-Lahorgue, 2008, Signal Process..

Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields

Wojciech Pieczynski, Dalila Benboudjema, W. Pieczynski, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Image and signal restoration using pairwise Markov trees

Emmanuel Monfrini, Wojciech Pieczynski, J. Lecomte, 2004, IEEE Workshop on Statistical Signal Processing, 2003.

Triplet Markov chains in hidden signal restoration

Wojciech Pieczynski, Cedric Hulard, Thomas Veit, 2003, SPIE Remote Sensing.

PARTICLE FILTERING IN PAIRWISE AND TRIPLET MARKOV CHAINS

Wojciech Pieczynski, W. Pieczynski, 2003 .

Using the Naive Bayes as a discriminative classifier pdf

Emmanuel Monfrini, Wojciech Pieczynski, Elie Azeraf, 2020, ArXiv.

Unsupervised segmentation of hidden Markov fields corrupted by correlated non-Gaussian noise

W. Pieczynski, M. E. Boudaren, Lin An, 2018, Int. J. Approx. Reason..

Unsupervised segmentation of SAR images using Triplet Markov fields and fisher noise distributions

Jean-Marie Nicolas, Florence Tupin, Marc Sigelle, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Parameter Estimation in Switching Markov Systems and Unsupervised Smoothing

Wojciech Pieczynski, Stéphane Derrode, Fei Zheng, 2019, IEEE Transactions on Automatic Control.

Pairwise Markov models for stock index forecasting

Emmanuel Monfrini, Wojciech Pieczynski, Ivan Gorynin, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Parameter estimation in conditionally Gaussian pairwise Markov switching models and unsupervised smoothing

Wojciech Pieczynski, Stéphane Derrode, Fei Zheng, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Copulas selection in pairwise Markov chain

Stéphane Derrode, Wojciech Pieczynski, W. Pieczynski, 2012 .

Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions

Emmanuel Monfrini, Mohamed El Yazid Boudaren, Wojciech Pieczynski, 2012, IEEE Signal Processing Letters.

Exact Smoothing in Hidden Conditionally Markov Switching Linear Models

Wojciech Pieczynski, W. Pieczynski, 2011 .

PAIRWISE MARKOV MODEL APPLIED TO UNSUPERVISED IMAGE SEPARATION

Wojciech Pieczynski, Selwa Rafi, Marc Castella, 2011 .

A Bayesian filtering algorithm in jump Markov systems with application to track-before-detect

Wojciech Pieczynski, Noémie Bardel, Noufel Abbassi, 2010, 2010 IEEE Radar Conference.

Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas

Nicolas Brunel, Wojciech Pieczynski, Jérôme Lapuyade-Lahorgue, 2010, IEEE Transactions on Automatic Control.

Exact filtering and smoothing in short or long memory stochastic switching systems

Wojciech Pieczynski, Noufel Abbassi, W. Pieczynski, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

SAR image segmentation using generalized pairwise Markov chains

Stéphane Derrode, Wojciech Pieczynski, W. Pieczynski, 2003, SPIE Remote Sensing.

Pairwise Markov chains and Bayesian unsupervised fusion

W. Pieczynski, W. Pieczynski, 2000, Proceedings of the Third International Conference on Information Fusion.

Multiresolution hidden Markov chain model and unsupervised image segmentation

Wojciech Pieczynski, Alain Appriou, Laurent Fouque, 2000, 4th IEEE Southwest Symposium on Image Analysis and Interpretation.

Pairwise Markov random fields and its application in textured images segmentation

Wojciech Pieczynski, Abdel-Nasser Tebbache, W. Pieczynski, 2000, 4th IEEE Southwest Symposium on Image Analysis and Interpretation.

Estimation of generalized mixture in the case of correlated sensors

Wojciech Pieczynski, Julien Bouvrais, Christophe Michel, 2000, IEEE Trans. Image Process..