Wojciech Pieczynski
Orcid: 0000-0002-1371-2627
According to our database1,
Wojciech Pieczynski
authored at least 108 papers
between 1992 and 2023.
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Bibliography
2023
Int. J. Approx. Reason., November, 2023
A new hybrid model of convolutional neural networks and hidden Markov chains for image classification.
Neural Comput. Appl., August, 2023
Traffic state prediction using conditionally Gaussian observed Markov fuzzy switching model.
J. Intell. Transp. Syst., July, 2023
Equivalence between LC-CRF and HMM, and Discriminative Computing of HMM-Based MPM and MAP.
Algorithms, March, 2023
Linear chain conditional random fields, hidden Markov models, and related classifiers.
CoRR, 2023
2022
IEEE Trans. Autom. Control., 2022
Kernel smoothing classification of multiattribute data in the belief function framework: Application to multichannel image segmentation.
Multim. Tools Appl., 2022
Improving Usual Naive Bayes Classifier Performances with Neural Naive Bayes based Models.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022
On Equivalence between Linear-chain Conditional Random Fields and Hidden Markov Chains.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
2021
Toward a Cost-Effective Motorway Traffic State Estimation From Sparse Speed and GPS Data.
IEEE Access, 2021
Proceedings of the IEEE International Smart Cities Conference, 2021
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the 6th IEEE Congress on Information Science and Technology, 2021
2020
IEEE Trans. Fuzzy Syst., 2020
IEEE Signal Process. Lett., 2020
Semi-supervised optimal recursive filtering and smoothing in non-Gaussian Markov switching models.
Signal Process., 2020
State estimation in pairwise Markov models with improved robustness using unbiased FIR filtering.
Signal Process., 2020
CoRR, 2020
Proceedings of the Advances in Computing Systems and Applications, 2020
2019
IEEE Trans. Autom. Control., 2019
Lower Limb Locomotion Activity Recognition of Healthy Individuals Using Semi-Markov Model and Single Wearable Inertial Sensor.
Sensors, 2019
An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model.
Neurocomputing, 2019
2018
Signal Process., 2018
Unsupervised segmentation of hidden Markov fields corrupted by correlated non-Gaussian noise.
Int. J. Approx. Reason., 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Fast Filtering in Switching Approximations of Nonlinear Markov Systems With Applications to Stochastic Volatility.
IEEE Trans. Autom. Control., 2017
Comput. Stat. Data Anal., 2017
Triplet Markov Chains Based- Estimation of Nonstationary Latent Variables Hidden with Independent Noise.
Proceedings of the Enterprise Information Systems - 19th International Conference, 2017
Proceedings of the ICEIS 2017, 2017
Unsupervised learning of asymmetric high-order autoregressive stochastic volatility model.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
2016
IEEE Trans. Fuzzy Syst., 2016
IEEE Trans. Fuzzy Syst., 2016
IEEE Signal Process. Lett., 2016
Unsupervised classification using hidden Markov chain with unknown noise copulas and margins.
Signal Process., 2016
Unsupervised Segmentation of SAR Images Using Gaussian Mixture-Hidden Evidential Markov Fields.
IEEE Geosci. Remote. Sens. Lett., 2016
Int. J. Approx. Reason., 2016
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the Representations, Analysis and Recognition of Shape and Motion from Imaging Data, 2016
Parameter estimation in conditionally Gaussian pairwise Markov switching models and unsupervised smoothing.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Unsupervised learning of Markov-switching stochastic volatility with an application to market data.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the Belief Functions: Theory and Applications, 2016
2015
Optimal Filter Approximations in Conditionally Gaussian Pairwise Markov Switching Models.
IEEE Trans. Autom. Control., 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
Filtrage statistique optimal rapide dans des systèmes linéaires à sauts non stationnaires.
Traitement du Signal, 2014
Subsampling-based HMC parameter estimation with application to large datasets classification.
Signal Image Video Process., 2014
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
IEEE Signal Process. Lett., 2013
Separation of instantaneous mixtures of a particular set of dependent sources using classical ICA methods.
EURASIP J. Adv. Signal Process., 2013
Unsupervised data classification using pairwise Markov chains with automatic copulas selection.
Comput. Stat. Data Anal., 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Traitement du Signal, 2012
Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions.
IEEE Signal Process. Lett., 2012
Signal Process., 2012
EURASIP J. Adv. Signal Process., 2012
Unsupervised segmentation of nonstationary pairwise Markov Chains using evidential priors.
Proceedings of the 20th European Signal Processing Conference, 2012
2011
Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise.
Signal Process., 2011
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the 19th European Signal Processing Conference, 2011
2010
Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas.
IEEE Trans. Autom. Control., 2010
Unsupervised segmentation of new semi-Markov chains hidden with long dependence noise.
Signal Process., 2010
2008
Signal Process., 2008
Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation.
Pattern Anal. Appl., 2008
2007
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 2007
Int. J. Approx. Reason., 2007
Unsupervised segmentation of SAR images using Triplet Markov fields and fisher noise distributions.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
2006
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006
Contextual Estimation Of Hidden Markov Chains With Application To Image Segmentation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Unsupervised Segmentation Of Non Stationary Images With Non Gaussian Correlated Noise Using Triplet Markov Fields And The Pearson System.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
Unsupervised restoration of hidden nonstationary Markov chains using evidential priors.
IEEE Trans. Signal Process., 2005
Signal Process., 2005
Comput. Vis. Image Underst., 2005
Proceedings of the 2005 International Conference on Image Processing, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
IEEE Trans. Signal Process., 2004
2003
Unsupervised classification of radar images using hidden Markov chains and hidden Markov random fields.
IEEE Trans. Geosci. Remote. Sens., 2003
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003
Unsupervised multicomponent image segmentation combining a vectorial HMC model and ICA.
Proceedings of the 2003 International Conference on Image Processing, 2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
2002
IEEE Trans. Geosci. Remote. Sens., 2002
2001
Multisensor image segmentation using Dempster-Shafer fusion in Markov fields context.
IEEE Trans. Geosci. Remote. Sens., 2001
2000
IEEE Trans. Image Process., 2000
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000
1999
Proceedings of the 1999 International Conference on Image Processing, 1999
1997
IEEE Trans. Image Process., 1997
Estimation of fuzzy Gaussian mixture and unsupervised statistical image segmentation.
IEEE Trans. Image Process., 1997
Estimation of Generalized Multisensor Hidden Markov Chains and Unsupervised Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 1997
CVGIP Graph. Model. Image Process., 1997
1996
Unsupervised segmentation of multisensor images using generalized hidden Markov chains.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996
Proceedings of the 8th European Signal Processing Conference, 1996
1995
CVGIP Graph. Model. Image Process., 1995
Proceedings of the 1995 International Conference on Acoustics, 1995
Proceedings of the 1995 International Conference on Acoustics, 1995
1993
IEEE Trans. Geosci. Remote. Sens., 1993
IEEE Trans. Geosci. Remote. Sens., 1993
1992
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992