Article dans une revue

2018

ref_biblio

Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet. Oriented triplet Markov fields. Pattern Recognition Letters, 2018, 103, pp.16-22. ⟨10.1016/j.patrec.2017.12.026⟩. ⟨hal-01744716⟩

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Ivan Gorynin, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski. Assessing the segmentation performance of pairwise and triplet Markov models. Signal Processing, 2018, 145, pp.183 - 192. ⟨10.1016/j.sigpro.2017.12.006⟩. ⟨hal-01681354⟩

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2017

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Jean-Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet. Extended faint source detection in astronomical hyperspectral images. Signal Processing, 2017, 135, pp.274 - 283. ⟨10.1016/j.sigpro.2017.01.013⟩. ⟨hal-01885656⟩

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2016

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Jean-Baptiste Courbot, Edmond Rust, Emmanuel Monfrini, Christophe Collet. Vertebra segmentation based on 2-step refinement. Journal of Computational Surgery, 2016, 4 (1), pp.1 - 22. ⟨10.1186/s40244-016-0018-0⟩. ⟨hal-01358382⟩

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ref_biblio

Ivan Gorynin, Laurent Crelier, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski. Performance comparison across hidden, pairwise and triplet Markov model's estimators. International journal of mathematical and computational methods (IJMCM), 2016, 1, pp.253 - 258. ⟨hal-01461636⟩

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Ivan Gorynin, Elie Azeraf, Wiem Sabbagh, Emmanuel Monfrini, Wojciech Pieczynski. Optimal filtering in hidden and pairwise Gaussian Markov systems. International journal of mathematical and computational methods (IJMCM), 2016, 1, pp.259 - 263. ⟨hal-01461630⟩

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Meriem Yahiaoui, Emmanuel Monfrini, Bernadette Dorizzi. Markov Chains for unsupervised segmentation of degraded NIR iris images for person recognition. Pattern Recognition Letters, 2016, 82 (2), pp.116 - 123. ⟨10.1016/j.patrec.2016.05.025⟩. ⟨hal-01390978⟩

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2012

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Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski, Amar Aïssani. Dempster-Shafer fusion of multisensor signals in nonstationary Markovian context. EURASIP Journal on Advances in Signal Processing, 2012, 2012:134, ⟨10.1186/1687-6180-2012-134⟩. ⟨hal-00766444⟩

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ref_biblio

Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski. Unsupervised segmentation of random discrete data hidden with switching noise distributions. IEEE Signal Processing Letters, 2012, 19 (10), pp.619-622. ⟨10.1109/LSP.2012.2209639⟩. ⟨hal-00738142⟩

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2005

ref_biblio

Emmanuel Monfrini, Wojciech Pieczynski. Estimation de mélanges généralisés dans les arbres de Markov cachés, application à la segmentation des images de cartons d'orgue de barbarie. Traitement du Signal, 2005, 22 (2), pp.135 - 147. ⟨hal-01347972⟩

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Communication dans un congrès

2020

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Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet. Spatial Triplet Markov Trees for auxiliary variational inference in Spatial Bayes Networks. SMTDA 2020: 6th international conference on Stochastic Modeling Techniques and Data Analysis, Jun 2020, Barcelone (online), Spain. pp.237-249. ⟨hal-03122810⟩

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2017

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Mohamed El Yazid Boudaren, Emmanuel Monfrini, Kadda Beghdad Bey, Ahmed Habbouchi, Wojciech Pieczynski. Unsupervised segmentation of nonstationary data using triplet Markov chains. ICEIS 2017 : 19th International Conference on Enterprise Information Systems, Apr 2017, Porto, Portugal. pp.405 - 414, ⟨10.5220/0006276704050414⟩. ⟨hal-01548177⟩

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ref_biblio

Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet. Arbres de Markov triplets pour la segmentation d'images. GRETSI 2017 : XXVIème colloque, Sep 2017, Juan Les Pins, France. pp.1 - 4. ⟨hal-01611540⟩

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Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski. Estimation de la variance stochastique multivariée avec un filtre gaussien basé sur la méthode de Laplace. GRETSI 2017 : XXVIe Colloque, Sep 2017, Juan Les Pins, France. pp.1 - 4. ⟨hal-01885262⟩

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Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski. Pairwise Markov models for stock index forecasting. EUSIPCO 2017 : 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. pp.2095 - 2099. ⟨hal-01611333⟩

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Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski. Unsupervised learning of asymmetric high-order autoregressive stochastic volatility model. ICASSP 2017 : 42nd International Conference on Acoustics, Speech and Signal Processing, Mar 2017, New Orleans, United States. pp.4780 - 4784, ⟨10.1109/ICASSP.2017.7953064⟩. ⟨hal-01701173⟩

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2016

ref_biblio

Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski. Unsupervised learning of Markov-switching stochastic volatility with an application to market data. MLSP 2016 : 26th International Workshop on Machine Learning for Signal Processing, Sep 2016, Salerno, Italy. pp.1 - 6, ⟨10.1109/MLSP.2016.7738821⟩. ⟨hal-01548330⟩

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ref_biblio

Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski. Fast filtering with new sparse transition Markov chains. SSP 2016 : IEEE worshop on Statistical Signal Processing, Jun 2016, Palma De Mallorca, Spain. pp.1 - 5, ⟨10.1109/SSP.2016.7551839⟩. ⟨hal-01358384⟩

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2014

ref_biblio

Meriem Yahiaoui, Emmanuel Monfrini, Bernadette Dorizzi. Implementation of unsupervised statistical methods for low-quality iris segmentation. SITIS 2014 : 10th International Conference on Signal-Image Technology and Internet-Based Systems, Nov 2014, Marrakech, Morocco. pp.566 - 573, ⟨10.1109/SITIS.2014.46⟩. ⟨hal-01331567⟩

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2013

ref_biblio

Marc Blanc-Patin, Marion Chevalier, Audrey Dupont, Emmanuel Monfrini, Yohan Petetin. Poursuite de cible par un senseur mobile ; repérage multisenseur de la position du senseur mobile. XXIVème Colloque Gretsi, Sep 2013, Brest, France. ⟨hal-00867150⟩

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2012

ref_biblio

Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski. Unsupervised segmentation of nonstationary pairwise Markov chains using evidential priors. EUSIPCO '12 : 20th European Signal Processing Conference, Aug 2012, Bucharest, Romania. pp.2243-2247. ⟨hal-00778813⟩

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2011

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Mohamed El Yazid Boudaren, Wojciech Pieczynski, Emmanuel Monfrini. Unsupervised segmentation of non stationary data hidden with non stationary noise. WoSSPA 2011 : 7th International Workshop on Systems, Signal Processing and their Applications, May 2011, Tipaza, Algeria. pp.255 - 258, ⟨10.1109/WOSSPA.2011.5931466⟩. ⟨hal-01354693⟩

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ref_biblio

Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski. Switching pairwise Markov chains for non stationary textured images segmentation. CGVCVIP 2011 : IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing, Jul 2011, Rome, Italy. pp.11 - 18. ⟨hal-01354618⟩

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ref_biblio

Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski. Unsupervised segmentation of switching pairwise Markov chains. ISPA 2011 : 7th International Symposium on Image and Signal Processing and Analysis , Sep 2011, Dubrovnik, Croatia. pp.183 - 188. ⟨hal-01354617⟩

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ref_biblio

François Desbouvries, Yohan Petetin, Emmanuel Monfrini. Filtrage particulaire optimal et filtrage particulaire auxiliaire adapté : une analyse non asymptotique. GRETSI 2011 : XXIIIe Colloque, Sep 2011, Bordeaux, France. ⟨hal-01347966⟩

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ref_biblio

François Desbouvries, Yohan Petetin, Emmanuel Monfrini. A non asymptotical analysis of the optimal SIR algorithm vs. the fully adapted auxiliary particle filter. SSP 2011 : Statistical Signal Processing Workshop, Jun 2011, Nice, France. pp.213 - 216, ⟨10.1109/SSP.2011.5967662⟩. ⟨hal-01354690⟩

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ref_biblio

François Desbouvries, Yohan Petetin, Emmanuel Monfrini. Optimal SIR algorithm vs. fully adapted auxiliary particle filter : a matter of conditional independence. ICASSP 2011 : International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.3992 - 3995, ⟨10.1109/ICASSP.2011.5947227⟩. ⟨hal-01304056⟩

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ref_biblio

Emmanuel Monfrini, Wojciech Pieczynski. Arbres de Markov couple et segmentation non supervisée d'images : cas de la mono-résolution. GRETSI 2011 : XXIIIe Colloque, Sep 2011, Bordeaux, France. ⟨hal-01347964⟩

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2009

ref_biblio

Yann Guermeur, Emmanuel Monfrini. Radius-margin bound on the leave-one-out error of the LLW-M-SVM. ASMDA 2009 : XIII International Conference Applied Stochastic Models and Data Analysis, Jun 2009, Vilnius, Lithuania. pp.1 - 6. ⟨hal-00471493⟩

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Pré-publication, Document de travail

2019

ref_biblio

Jean-Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet. Pairwise Markov fields for segmentation in astronomical hyperspectral images. 2019. ⟨hal-02010449⟩

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2018

ref_biblio

Wojciech Pieczynski, Stéphane Derrode, Ivan Gorynin, Emmanuel Monfrini. Triplet Markov models and fast smoothing in switching systems. 2018. ⟨hal-01864473⟩

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