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2020 – today
- 2023
[j60]Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
Equivalence between LC-CRF and HMM, and Discriminative Computing of HMM-Based MPM and MAP. Algorithms 16(3): 173 (2023)- [j59]Clément Fernandes, Wojciech Pieczynski:
Non-stationary data segmentation with hidden evidential semi-Markov chains. Int. J. Approx. Reason. 162: 109025 (2023) - [j58]Zied Bouyahia
, Hedi Haddad, Stéphane Derrode, Wojciech Pieczynski:
Traffic state prediction using conditionally Gaussian observed Markov fuzzy switching model. J. Intell. Transp. Syst. 27(4): 503-522 (2023) - [j57]Soumia Goumiri, Dalila Benboudjema, Wojciech Pieczynski:
A new hybrid model of convolutional neural networks and hidden Markov chains for image classification. Neural Comput. Appl. 35(24): 17987-18002 (2023) - [i8]Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
Linear chain conditional random fields, hidden Markov models, and related classifiers. CoRR abs/2301.01293 (2023) - 2022
- [j56]Ali Hamache, Mohamed El Yazid Boudaren, Wojciech Pieczynski:
Kernel smoothing classification of multiattribute data in the belief function framework: Application to multichannel image segmentation. Multim. Tools Appl. 81(20): 29587-29608 (2022) - [j55]Frédéric Lehmann, Wojciech Pieczynski:
Reduced-Dimension Filtering in Triplet Markov Models. IEEE Trans. Autom. Control. 67(2): 605-617 (2022) - [c44]Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
On Equivalence between Linear-chain Conditional Random Fields and Hidden Markov Chains. ICAART (3) 2022: 725-728 - [c43]Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
Improving Usual Naive Bayes Classifier Performances with Neural Naive Bayes based Models. ICPRAM 2022: 315-322 - [i7]Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
Deriving discriminative classifiers from generative models. CoRR abs/2201.00844 (2022) - 2021
- [j54]Zied Bouyahia, Hedi Haddad, Stéphane Derrode, Wojciech Pieczynski:
Toward a Cost-Effective Motorway Traffic State Estimation From Sparse Speed and GPS Data. IEEE Access 9: 44631-44646 (2021) - [c42]Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski:
Highly Fast Text Segmentation With Pairwise Markov Chains. CIST 2021: 361-366 - [c41]Clément Fernandes, Thomas Monti, Emmanuel Monfrini, Wojciech Pieczynski:
Fast Image Segmentation with Contextual Scan and Markov Chains. EUSIPCO 2021: 626-630 - [c40]Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski:
Introducing the Hidden Neural Markov Chain Framework. ICAART (2) 2021: 1013-1020 - [c39]Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
Using the Naive Bayes as a discriminative model. ICMLC 2021: 106-110 - [c38]Soumia Goumiri, Dalila Benboudjema, Wojciech Pieczynski:
One Convolutional Layer Model For Parking Occupancy Detection. ISC2 2021: 1-5 - [i6]Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski:
Highly Fast Text Segmentation With Pairwise Markov Chains. CoRR abs/2102.11037 (2021) - [i5]Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski:
Introducing the Hidden Neural Markov Chain framework. CoRR abs/2102.11038 (2021) - [i4]Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
Improving usual Naive Bayes classifier performances with Neural Naive Bayes based models. CoRR abs/2111.07307 (2021) - [i3]Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
On equivalence between linear-chain conditional random fields and hidden Markov chains. CoRR abs/2111.07376 (2021) - 2020
- [j53]Fei Zheng, Stéphane Derrode, Wojciech Pieczynski:
Semi-supervised optimal recursive filtering and smoothing in non-Gaussian Markov switching models. Signal Process. 171: 107511 (2020) - [j52]Frédéric Lehmann, Wojciech Pieczynski:
State estimation in pairwise Markov models with improved robustness using unbiased FIR filtering. Signal Process. 172: 107568 (2020) - [j51]Frédéric Lehmann, Wojciech Pieczynski:
Suboptimal Kalman Filtering in Triplet Markov Models Using Model Order Reduction. IEEE Signal Process. Lett. 27: 1100-1104 (2020) - [j50]Zied Bouyahia, Stéphane Derrode, Wojciech Pieczynski:
Filtering in Gaussian Linear Systems With Fuzzy Switches. IEEE Trans. Fuzzy Syst. 28(8): 1760-1770 (2020) - [c37]Ahmed Habbouchi, Mohamed El Yazid Boudaren, Amar Aïssani, Wojciech Pieczynski:
Fast Segmentation of Markov Random Fields Corrupted by Correlated Noise. CSA 2020: 334-343 - [i2]Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski:
Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging. CoRR abs/2005.10629 (2020) - [i1]Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
Using the Naive Bayes as a discriminative classifier. CoRR abs/2012.13572 (2020)
2010 – 2019
- 2019
- [j49]Haoyu Li, Stéphane Derrode, Wojciech Pieczynski:
An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model. Neurocomputing 362: 94-105 (2019) - [j48]Haoyu Li, Stéphane Derrode, Wojciech Pieczynski:
Lower Limb Locomotion Activity Recognition of Healthy Individuals Using Semi-Markov Model and Single Wearable Inertial Sensor. Sensors 19(19): 4242 (2019) - [j47]Fei Zheng, Stéphane Derrode, Wojciech Pieczynski:
Parameter Estimation in Switching Markov Systems and Unsupervised Smoothing. IEEE Trans. Autom. Control. 64(4): 1761-1767 (2019) - 2018
- [j46]Lin An, Ming Li, Mohamed El Yazid Boudaren, Wojciech Pieczynski:
Unsupervised segmentation of hidden Markov fields corrupted by correlated non-Gaussian noise. Int. J. Approx. Reason. 102: 41-59 (2018) - [j45]Ivan Gorynin, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski:
Assessing the segmentation performance of pairwise and triplet Markov models. Signal Process. 145: 183-192 (2018) - [c36]Haoyu Li, Stéphane Derrode, Lamia Benyoussef, Wojciech Pieczynski:
Free-Walking 3D Pedestrian Large Trajectory Reconstruction from IMU Sensors. EUSIPCO 2018: 657-661 - 2017
- [j44]Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini, Wojciech Pieczynski:
Fast smoothing in switching approximations of non-linear and non-Gaussian models. Comput. Stat. Data Anal. 114: 38-46 (2017) - [j43]Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini, Wojciech Pieczynski:
Fast Filtering in Switching Approximations of Nonlinear Markov Systems With Applications to Stochastic Volatility. IEEE Trans. Autom. Control. 62(2): 853-862 (2017) - [c35]Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski:
Pairwise Markov models for stock index forecasting. EUSIPCO 2017: 2041-2045 - [c34]Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski:
Unsupervised learning of asymmetric high-order autoregressive stochastic volatility model. ICASSP 2017: 4780-4784 - [c33]Mohamed El Yazid Boudaren, Emmanuel Monfrini, Kadda Beghdad Bey, Ahmed Habbouchi, Wojciech Pieczynski:
Triplet Markov Chains Based- Estimation of Nonstationary Latent Variables Hidden with Independent Noise. ICEIS (Revised Selected Papers) 2017: 127-144 - [c32]Mohamed El Yazid Boudaren, Emmanuel Monfrini, Kadda Beghdad Bey, Ahmed Habbouchi, Wojciech Pieczynski:
Unsupervised Segmentation of Nonstationary Data using Triplet Markov Chains. ICEIS (1) 2017: 405-414 - 2016
- [j42]Mohamed El Yazid Boudaren, Lin An, Wojciech Pieczynski:
Dempster-Shafer fusion of evidential pairwise Markov fields. Int. J. Approx. Reason. 74: 13-29 (2016) - [j41]Mohamed El Yazid Boudaren, Lin An, Wojciech Pieczynski:
Unsupervised Segmentation of SAR Images Using Gaussian Mixture-Hidden Evidential Markov Fields. IEEE Geosci. Remote. Sens. Lett. 13(12): 1865-1869 (2016) - [j40]Stéphane Derrode, Wojciech Pieczynski:
Unsupervised classification using hidden Markov chain with unknown noise copulas and margins. Signal Process. 128: 8-17 (2016) - [j39]Ahmed Habbouchi, Mohamed El Yazid Boudaren, Amar Aissani, Wojciech Pieczynski:
Unsupervised Segmentation of Markov Random Fields Corrupted by Nonstationary Noise. IEEE Signal Process. Lett. 23(11): 1607-1611 (2016) - [j38]Mohamed El Yazid Boudaren, Wojciech Pieczynski:
Unified Representation of Sets of Heterogeneous Markov Transition Matrices. IEEE Trans. Fuzzy Syst. 24(2): 497-503 (2016) - [j37]Mohamed El Yazid Boudaren, Wojciech Pieczynski:
Dempster-Shafer Fusion of Evidential Pairwise Markov Chains. IEEE Trans. Fuzzy Syst. 24(6): 1598-1610 (2016) - [c31]Lin An, Ming Li, Mohamed El Yazid Boudaren, Wojciech Pieczynski:
Evidential Correlated Gaussian Mixture Markov Model for Pixel Labeling Problem. BELIEF 2016: 203-211 - [c30]Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski:
Unsupervised learning of Markov-switching stochastic volatility with an application to market data. MLSP 2016: 1-6 - [c29]Fei Zheng, Stéphane Derrode, Wojciech Pieczynski:
Parameter estimation in conditionally Gaussian pairwise Markov switching models and unsupervised smoothing. MLSP 2016: 1-6 - [c28]Zied Bouyahia, Stéphane Derrode, Wojciech Pieczynski:
An Exact Smoother in a Fuzzy Jump Markov Switching Model. RFMI 2016: 111-125 - [c27]Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski:
Fast filtering with new sparse transition Markov chains. SSP 2016: 1-5 - 2015
- [j36]Noufel Abbassi, Dalila Benboudjema, Stéphane Derrode, Wojciech Pieczynski:
Optimal Filter Approximations in Conditionally Gaussian Pairwise Markov Switching Models. IEEE Trans. Autom. Control. 60(4): 1104-1109 (2015) - [c26]Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini, Wojciech Pieczynski:
Exact fast smoothing in switching models with application to stochastic volatility. EUSIPCO 2015: 924-928 - 2014
- [j35]Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski, Amar Aissani:
Phasic Triplet Markov Chains. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2310-2316 (2014) - [j34]Stéphane Derrode, Lamia Benyoussef, Wojciech Pieczynski:
Subsampling-based HMC parameter estimation with application to large datasets classification. Signal Image Video Process. 8(5): 873-882 (2014) - [j33]Noufel Abbassi, Stéphane Derrode, François Desbouvries, Yohan Petetin, Wojciech Pieczynski:
Filtrage statistique optimal rapide dans des systèmes linéaires à sauts non stationnaires. Traitement du Signal 31(3-4): 339-361 (2014) - [c25]Stéphane Derrode, Wojciech Pieczynski:
Fast filter in non-linear systems with application to stochastic volatility model. EUSIPCO 2014: 2410-2414 - 2013
- [j32]Stéphane Derrode, Wojciech Pieczynski:
Unsupervised data classification using pairwise Markov chains with automatic copulas selection. Comput. Stat. Data Anal. 63: 81-98 (2013) - [j31]Marc Castella, Selwa Rafi, Pierre Comon, Wojciech Pieczynski:
Separation of instantaneous mixtures of a particular set of dependent sources using classical ICA methods. EURASIP J. Adv. Signal Process. 2013: 62 (2013) - [j30]Stéphane Derrode, Wojciech Pieczynski:
Exact Fast Computation of Optimal Filter in Gaussian Switching Linear Systems. IEEE Signal Process. Lett. 20(7): 701-704 (2013) - [c24]Dalila Benboudjema, Nadia Othman, Bernadette Dorizzi, Wojciech Pieczynski:
Challenging eye segmentation using Triplet Markov spatial models. ICASSP 2013: 1927-1931 - 2012
- [j29]Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski, Amar Aïssani:
Dempster-Shafer fusion of multisensor signals in nonstationary Markovian context. EURASIP J. Adv. Signal Process. 2012: 134 (2012) - [j28]Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski:
Unsupervised segmentation of hidden semi-Markov non-stationary chains. Signal Process. 92(1): 29-42 (2012) - [j27]Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski:
Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions. IEEE Signal Process. Lett. 19(10): 619-622 (2012) - [j26]Stéphane Derrode, Wojciech Pieczynski:
Segmentation d'images par modèle de mélange conjoint non gaussien. Traitement du Signal 29(1-2): 9-28 (2012) - [c23]Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski:
Unsupervised segmentation of nonstationary pairwise Markov Chains using evidential priors. EUSIPCO 2012: 2243-2247 - 2011
- [j25]Pierre Lanchantin, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski:
Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise. Signal Process. 91(2): 163-175 (2011) - [c22]Stéphane Derrode, Wojciech Pieczynski:
Unsupervised restoration in Gaussian Pairwise Mixture Model. EUSIPCO 2011: 854-858 - [c21]Selwa Rafi, Marc Castella, Wojciech Pieczynski:
An extension of the ICA model using latent variables. ICASSP 2011: 3712-3715 - [c20]Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski:
Unsupervised segmentation of switching pairwise Markov chains. ISPA 2011: 183-188 - 2010
- [j24]Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski:
Unsupervised segmentation of new semi-Markov chains hidden with long dependence noise. Signal Process. 90(11): 2899-2910 (2010) - [j23]Nicolas Brunel, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski:
Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas. IEEE Trans. Autom. Control. 55(2): 338-349 (2010)
2000 – 2009
- 2008
- [j22]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 Anal. Appl. 11(3-4): 425-434 (2008) - [j21]Pierre Lanchantin, Jérôme Lapuyade-Lahorgue, Wojciech Pieczynski:
Unsupervised segmentation of triplet Markov chains hidden with long-memory noise. Signal Process. 88(5): 1134-1151 (2008) - 2007
- [j20]Wojciech Pieczynski:
Multisensor triplet Markov chains and theory of evidence. Int. J. Approx. Reason. 45(1): 1-16 (2007) - [j19]Dalila Benboudjema, Wojciech Pieczynski:
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(8): 1367-1378 (2007) - [c19]Dalila Benboudjema, Florence Tupin, Wojciech Pieczynski, Marc Sigelle, Jean-Marie Nicolas:
Unsupervised segmentation of SAR images using Triplet Markov fields and fisher noise distributions. IGARSS 2007: 3891-3894 - 2006
- [j18]Wojciech Pieczynski, Dalila Benboudjema:
Multisensor triplet Markov fields and theory of evidence. Image Vis. Comput. 24(1): 61-69 (2006) - [j17]François Desbouvries, Jean Lecomte, Wojciech Pieczynski:
Kalman filtering in pairwise Markov trees. Signal Process. 86(5): 1049-1054 (2006) - [c18]Stéphane Derrode, Lamia Benyoussef, Wojciech Pieczynski:
Contextual Estimation Of Hidden Markov Chains With Application To Image Segmentation. ICASSP (2) 2006: 689-692 - [c17]Dalila Benboudjema, Wojciech Pieczynski:
Unsupervised Segmentation Of Non Stationary Images With Non Gaussian Correlated Noise Using Triplet Markov Fields And The Pearson System. ICASSP (2) 2006: 701-704 - [c16]Grégoire Mercier, Stéphane Derrode, Wojciech Pieczynski, Jean-Marie Nicolas, Annabele Joannic-Chardin, Jordi Inglada:
Copula-based Stochastic Kernels for Abrupt Change Detection. IGARSS 2006: 204-207 - 2005
- [j16]Dalila Benboudjema, Wojciech Pieczynski:
Unsupervised image segmentation using triplet Markov fields. Comput. Vis. Image Underst. 99(3): 476-498 (2005) - [j15]Nicolas Brunel, Wojciech Pieczynski:
Unsupervised signal restoration using hidden Markov chains with copulas. Signal Process. 85(12): 2304-2315 (2005) - [j14]Pierre Lanchantin, Wojciech Pieczynski:
Unsupervised restoration of hidden nonstationary Markov chains using evidential priors. IEEE Trans. Signal Process. 53(8-2): 3091-3098 (2005) - [c15]Nicolas Brunel, Wojciech Pieczynski, Stéphane Derrode:
Copulas in Vectorial Hidden Markov Chains for Multicomponent Image Segmentation. ICASSP (2) 2005: 717-720 - [c14]Dalila Benboudjema, Wojciech Pieczynski:
Segmenting non stationary images with triplet Markov fields. ICIP (1) 2005: 317-320 - 2004
- [j13]Stéphane Derrode, Wojciech Pieczynski:
Signal and image segmentation using pairwise Markov chains. IEEE Trans. Signal Process. 52(9): 2477-2489 (2004) - 2003
- [j12]Wojciech Pieczynski:
Pairwise Markov Chains. IEEE Trans. Pattern Anal. Mach. Intell. 25(5): 634-639 (2003) - [j11]Roger Fjørtoft, Yves Delignon, Wojciech Pieczynski, Marc Sigelle, Florence Tupin:
Unsupervised classification of radar images using hidden Markov chains and hidden Markov random fields. IEEE Trans. Geosci. Remote. Sens. 41(3): 675-686 (2003) - [c13]Wojciech Pieczynski, François Desbouvries:
Kalman filtering using pairwise Gaussian models. ICASSP (6) 2003: 57-60 - [c12]François Desbouvries, Wojciech Pieczynski:
Particle filtering with pairwise Markov processes. ICASSP (6) 2003: 705-708 - [c11]Stéphane Derrode, Grégoire Mercier, Wojciech Pieczynski:
Unsupervised multicomponent image segmentation combining a vectorial HMC model and ICA. ICIP (2) 2003: 407-410 - [c10]Grégoire Mercier, Stéphane Derrode, Wojciech Pieczynski, Jean-Marc Le Caillec, René Garello:
Multiscale oil slick segmentation with Markov chain model. IGARSS 2003: 3501-3503 - 2002
- [j10]Yves Delignon, Wojciech Pieczynski:
Modeling non-Rayleigh speckle distribution in SAR images. IEEE Trans. Geosci. Remote. Sens. 40(6): 1430-1435 (2002) - 2001
- [j9]Azzedine Bendjebbour, Yves Delignon, Laurent Fouque, Vincent Samson, Wojciech Pieczynski:
Multisensor image segmentation using Dempster-Shafer fusion in Markov fields context. IEEE Trans. Geosci. Remote. Sens. 39(8): 1789-1798 (2001) - 2000
- [j8]Wojciech Pieczynski, Julien Bouvrais, Christophe Michel:
Estimation of generalized mixture in the case of correlated sensors. IEEE Trans. Image Process. 9(2): 308-312 (2000) - [c9]Wojciech Pieczynski, Abdel-Nasser Tebbache:
Pairwise Markov Random Fields and its Application in Textured Images Segmentation. SSIAI 2000: 106-110 - [c8]Laurent Fouque, Alain Appriou, Wojciech Pieczynski:
Multiresolution Hidden Markov Chain Model and Unsupervised Image Segmentation. SSIAI 2000: 121-125 - [c7]Wojciech Pieczynski:
Unsupervised Dempster-Shafer Fusion of Dependent Sensors. SSIAI 2000: 247-251
1990 – 1999
- 1999
- [c6]Wojciech Pieczynski:
Hidden Evidential Markov Trees and Image Segmentation. ICIP (1) 1999: 338-342 - 1997
- [j7]Fabien Salzenstein, Wojciech Pieczynski:
Parameter Estimation in Hidden Fuzzy Markov Random Fields and Image Segmentation. CVGIP Graph. Model. Image Process. 59(4): 205-220 (1997) - [j6]Nathalie Giordana, Wojciech Pieczynski:
Estimation of Generalized Multisensor Hidden Markov Chains and Unsupervised Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 19(5): 465-475 (1997) - [j5]Hélène Caillol, Wojciech Pieczynski, Alain Hillion:
Estimation of fuzzy Gaussian mixture and unsupervised statistical image segmentation. IEEE Trans. Image Process. 6(3): 425-440 (1997) - [j4]Yves Delignon, Abdelwaheb Marzouki, Wojciech Pieczynski:
Estimation of generalized mixtures and its application in image segmentation. IEEE Trans. Image Process. 6(10): 1364-1375 (1997) - 1996
- [c5]Nathalie Giordana, Wojciech Pieczynski:
Unsupervised restoration of generalized multisensor Hidden Markov Chains. EUSIPCO 1996: 1-4 - [c4]Nathalie Giordana, Wojciech Pieczynski:
Unsupervised segmentation of multisensor images using generalized hidden Markov chains. ICIP (3) 1996: 987-990 - 1995
- [j3]Anrong Peng, Wojciech Pieczynski:
Adaptive Mixture Estimation and Unsupervised Local Bayesian Image Segmentation. CVGIP Graph. Model. Image Process. 57(5): 389-399 (1995) - [c3]Zoltan Kato, Josiane Zerubia, Marc Berthod, Wojciech Pieczynski:
Unsupervised adaptive image segmentation. ICASSP 1995: 2399-2402 - [c2]Fabien Salzenstein, Wojciech Pieczynski:
Unsupervised Bayesian segmentation using hidden Markovian fields. ICASSP 1995: 2411-2414 - 1993
- [j2]Pascale Masson, Wojciech Pieczynski:
SEM algorithm and unsupervised statistical segmentation of satellite images. IEEE Trans. Geosci. Remote. Sens. 31(3): 618-633 (1993) - [j1]Hélène Caillol, Alain Hillion, Wojciech Pieczynski:
Fuzzy random fields and unsupervised image segmentation. IEEE Trans. Geosci. Remote. Sens. 31(4): 801-810 (1993) - 1992
- [c1]Olivier Allagnat, Jean-Marc Boucher, Dong-Chen He, Wojciech Pieczynski:
Hidden Markov fields and unsupervised segmentation of images. ICPR (3) 1992: 96-100
Coauthor Index
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