Nombre de documents

43

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Article dans une revue13 documents

  • Nicolas Le Bihan, Florent Chatelain, Jonathan Manton. Isotropic Multiple Scattering Processes on Hyperspheres. IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2016, 62 (10), pp.5740-5752. <10.1109/TIT.2015.2508932>. <hal-01322340>
  • Céline Meillier, Florent Chatelain, Olivier Michel, Roland Bacon, Laure Piqueras, et al.. SELFI: an object-based, Bayesian method for faint emission line source detection in MUSE deep field data cubes. Astronomy and Astrophysics - A&A, EDP Sciences, 2016, 588, pp.A140. <10.1051/0004-6361/201527724>. <hal-01322356>
  • Thanh Trung Le, Florent Chatelain, Christophe Berenguer. Multi-branch hidden Markov models for remaining useful life estimation of systems under multiple deterioration modes. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, SAGE Publications, 2016, 230 (5), pp.473-484. <10.1177/1748006X15624584>. <hal-01260906>
  • Flore Harlé, Florent Chatelain, Cedric Gouy-Pailler, Sophie Achard. Bayesian Model for Multiple Change-Points Detection in Multivariate Time Series. Signal Processing, IEEE Transactions on, IEEE Signal Processing Society, 2016. <hal-01394735>
  • Céline Meillier, Florent Chatelain, Olivier Michel, Hacheme Ayasso. Nonparametric Bayesian extraction of object configurations in massive data. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2015, 63 (8), pp.1911-1924. <10.1109/TSP.2015.2403268>. <hal-01129038>
  • Philippe Bernardoff, Florent Chatelain, Jean-Yves Tourneret. Masses of negative multinomial distributions: Application to Polarimetric Image Processing. Journal of Probability and Statistics, 2013, vol. 2013, pp. 1-13. <10.1155/2013/170967>. <hal-01122575>
  • Matthieu Sanquer, Florent Chatelain, Mabrouka El-Guedri, Nadine Martin. A Smooth Transition Model for Multiple-Regime Time Series. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2013, 61 (7), pp.1835-1847. <10.1109/TSP.2012.2234745>. <hal-00802304>
  • Saima Ben Hadj, Florent Chatelain, Xavier Descombes, Josiane Zerubia. Approche non supervisée par processus ponctuels marqués pour l'extraction d'objets à partir d'images aériennes et satellitaires. Revue Française de Photogrammétrie et de Télédétection, Société Française de Photogrammétrie et de Télédétection, 2010, 194, pp.2-15. <hal-00638665>
  • Florent Chatelain, Sophie Lambert-Lacroix, Jean-Yves Tourneret. Pairwise likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities. Statistics and Computing, Springer Verlag (Germany), 2009, 19 (3), pp.283-301. <10.1007/s11222-008-9092-9>. <hal-00853135>
  • Florent Chatelain, Jean-Yves Tourneret, Muriel Roche, Mehdi Alouini. Estimating the polarization degree of polarimetric images in coherent illumination using maximum likelihood methods. Journal of the Optical Society of America. A: Optics, Image Science & Vision, 2009, 26 (6), pp.1348-1359. <10.1364/JOSAA.26.001348>. <hal-00475975>
  • Florent Chatelain, A. Ferrari, Jean-Yves Tourneret. Lois de Poisson mélangées multivariées : application à la détection en présence de speckles. Traitement du Signal, Lavoisier, 2009, 26 (3), pp.1-12. <hal-00372288>
  • Florent Chatelain, Jean-Yves Tourneret, Jordi Inglada. Change detection in multisensor SAR images using bivariate gamma distributions. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2008, vol. 17 n° 3., 249-258 available on : http://oatao.univ-toulouse.fr/363/3/Tourneret__363.pdf. <hal-00467504>
  • Florent Chatelain, Jean-Yves Tourneret, Jordi Inglada, André Ferrari. Bivariate Gamma Distributions for Image Registration and Change Detection. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2007, vol. 16 n° 7., pp. 1796-1806 available on : http://oatao.univ-toulouse.fr/805/1/chatelain_805.pdf. <hal-00474882>

Communication dans un congrès25 documents

  • Thanh Trung Le, Florent Chatelain, Christophe Berenguer. Competing deterioration processes modeling and RUL estimation based on factorial hidden Markov models. P. Scarf, S. Wu, P. Do. the 9th IMA International Conference on Modelling in Industrial Maintenance and Reliability - MIMAR 2016, Jul 2016, London, United Kingdom. Institute of Mathematics and its Applications, Proceedings of the 9th IMA International Conference on Modelling in Industrial Maintenance and Reliability, pp.108-113, 2016, Proceedings of the 9th IMA International Conference on Modelling in Industrial Maintenance and Reliability. <hal-01411405>
  • Thanh Trung Le, Florent Chatelain, Christophe Berenguer. Jump Markov Linear Systems for deterioration modeling and Remaining Useful Life estimation. Podofillini et al. 25th European Safety and Reliability Conference (ESREL 2015), Sep 2015, Zürich, Switzerland. Taylor & Francis, pp.1287-1295, 2015, Safety and Reliability of Complex Engineered Systems - Proc. of the 25th European Safety and Reliability Conference - ESREL 2015. <hal-01237909>
  • Thanh Trung Le, Christophe Berenguer, Florent Chatelain. Multi-Branch Hidden Semi-Markov Modeling for RUL Prognosis. Annual Reliability and Maintainability Symposium - RAMS 2015, Jan 2015, Orlando, FL, United States. IEEE, pp.122-128, 2015, Proc. Annual Reliability and Maintainability Symposium - RAMS 2015. <10.1109/RAMS.2015.7105132>. <hal-01084379>
  • Céline Meillier, Florent Chatelain, Olivier Michel, Hacheme Ayasso. Contrôle des erreurs pour la détection d'événements rares et faibles dans des champs de données massifs. XXVème colloque GRETSI (GRETSI 2015), Sep 2015, Lyon, France. <hal-01198721>
  • Thanh Trung Le, Florent Chatelain, Christophe Berenguer. Prognosis based on Multi-branch Hidden semi-Markov Models: A case study. SAFEPROCESS 2015 - 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processe, Sep 2015, Paris, France. IFAC, pp.91-96, 2015, Preprints, 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes. <hal-01237916>
  • Thanh Trung Le, Florent Chatelain, Christophe Berenguer. Hidden Markov Models for diagnostics and prognostics of systems under multiple deterioration modes. European Safety and Reliability Conference (ESREL 2014), Sep 2014, Wroclaw, Poland. Taylor & Francis - CRC Press/Balkema, Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014, pp.1197-1204, 2014. <hal-01027509>
  • Céline Meillier, Florent Chatelain, Olivier Michel, Hacheme Ayasso. Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), May 2014, Florence, Italy. Proceedings of ICASSP 2014, pp.1905-1909, 2014. <hal-00991388>
  • Florent Chatelain, Sophie Achard, Olivier Michel, Cedric Gouy-Pailler. Multivariate approach for brain decomposable connectivity networks. 2011 IEEE Workshop on Statistical Signal Processing (SSP2011), Jun 2011, Nice, France. pp.817-820, 2011. <hal-00639853>
  • Florent Chatelain, Sophie Achard, Cedric Gouy-Pailler, Olivier Michel, Pierre-Olivier Amblard. Graphe de connectivité cérébrale et longue dépendance. XXIIIème colloque GRETSI (GRETSI 2011), Sep 2011, Bordeaux, France. 2011. <hal-00639898>
  • Florent Chatelain, Aude Costard, Olivier Michel. A Bayesian marked point process for object detection. Application to MUSE hyperspectral data. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), May 2011, Prague, Czech Republic. pp.3628-­3631, 2011. <hal-00639711>
  • Florent Chatelain, Aude Costard, Olivier Michel. Extraction de galaxies dans les données hyperspectrales MUSE : une approche objet non supervisée. XXIIIème colloque GRETSI (GRETSI 2011), Sep 2011, Bordeaux, France. 2011. <hal-00639876>
  • Matthieu Sanquer, Florent Chatelain, Mabrouka El-Guedri, Nadine Martin. A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression models. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), May 2011, Prague, Czech Republic. pp.s/n, 2011. <hal-00609133>
  • Aude Costard, Florent Chatelain, Olivier Michel. A Bayesian marked point process for object detection. Application to MUSE hyperspectral data. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), May 2011, Pragues, Czech Republic. pp.SPTM-L2.6, 2011. <hal-00642152>
  • Matthieu Sanquer, Florent Chatelain, Mabrouka El-Guedri, Nadine Martin. Modèle polynomial par morceaux muni de transitions régulières - Application à la modélisation de signaux transitoires électriques. XXIIIème colloque GRETSI (GRETSI 2011), Sep 2011, Bordeaux, France. pp.s/n, 2011. <hal-00609204>
  • Philippe Bernardoff, Florent Chatelain, Jean-Yves Tourneret. Masses des lois multinomiales négatives. Application au traitement d'images polarimétriques.. 42èmes Journées de Statistique, May 2010, Marseille, France. 2010. <inria-00494739>
  • Saima Ben Hadj, Florent Chatelain, Xavier Descombes, Josiane Zerubia. Parameter estimation for a marked point process within a framework of multidimensional shape extraction from remote sensing images. ISPRS Technical Commission III Symposium on Photogrammetry Computer Vision and Image Analysis (PCV 2010), Sep 2010, Paris, France. pp.1, 2010. <hal-00526345>
  • Réza Shirvany, Marie Chabert, Florent Chatelain, Jean-Yves Tourneret. Maximum likelihood estimation of the polarization degree from two multi-look intensity images. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Mar 2010, Dallas, United States. pp.1198-1201, 2010. <hal-00481814>
  • Philippe Bernardoff, Florent Chatelain, Jean-Yves Tourneret. Masses des lois multinomiales négatives. Application au traitement d'images polarimétriques. 42èmes Journées de Statistique, May 2010, Marseille, France. pp.0-0, 2010. <hal-00481843>
  • Matthieu Sanquer, Florent Chatelain, Mabrouka El-Guedri, Nadine Martin. Bayesian curve fitting for transient signals by using smooth transition regression models.. Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM and MFPT 2010), Jun 2010, Stratford-upon-Avon, United Kingdom. pp.n.c., 2010. <hal-00511097>
  • Florent Chatelain, Jean-Yves Tourneret, Nadine Martin. Multivariate Markovian gamma distributions for multitemporal sequences of SAR images. IEEE Workshop on Statistical Signal Processing, SSP, Aug 2009, Cardiff, United Kingdom. 2009. <hal-00391770>
  • Florent Chatelain. Using marked point processes for the change-point problem. Sixth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies. CM 2009 and MFPT 2009, Jun 2009, Dublin, Ireland. pp.n/a, 2009. <hal-00372293>
  • Florent Chatelain, Xavier Descombes, Josiane Zerubia. Estimation des paramètres de processus ponctuels marqués dans le cadre de l'extraction d'objets en imagerie de télédétection. XXIIème colloque GRETSI (GRETSI 2009), Sep 2009, Dijon, France. 2009. <inria-00399258>
  • Florent Chatelain, Xavier Descombes, Josiane Zerubia. Parameter estimation for marked point processes. Application to object extraction from remote sensing images. D. Cremers et al. 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition., Aug 2009, Bonn, Germany. Springer-Verlag Berlin Heidelberg, 5681, pp.221-234, 2009, Lecture Notes in Computer Science (LNCS). <hal-00391719>
  • Chatelain Florent, Pierre Borgnat, Jean-Yves Tourneret, Patrice Abry. Parameter estimation for sums of correlated gamma random variables. Application to anomaly detection in Internet Traffic. IEEE Int. Conf. on Acoust., Speech and Signal Proc. ICASSP-08, Mar 2008, Las Vegas, United States. IEEE, 2008. <ensl-00290724>
  • Florent Chatelain, Jean-Yves Tourneret, Muriel Roche. Estimating the polarization degree of polarimetric images using Maximum likelihood methods. IEEE Statistical Signal Processing Workshop 2007,, Sep 2007, Madison, United States. 2007. <hal-00165749>

Ouvrage (y compris édition critique et traduction)1 document

  • Florent Chatelain, Xavier Descombes, Florent Lafarge, Christian Lantuéjoul, Clement Mallet, et al.. Applications de la géometrie stochastique à l'analyse d'images. Xavier Descombes. Hermes Science-Lavoisier, pp.250, 2011, 978-2-7462-2145-1. <hal-00793674>

Chapitre d'ouvrage2 documents

  • Radu Stoica, Florent Chatelain, Marc Sigelle. Parametric Inference for Marked Point Processes in Image Analysis. X. Descombes. Stochastic Geometry for Image Analysis, Wiley, pp.113-159, 2012, Digital Signal and Image Processing Series. <hal-00796020>
  • Radu Stoica, Florent Chatelain, Marc Sigelle. Inférence paramétrique pour les processus ponctuels marqués en analyse d'images. Xavier Descombes. Applications de la géométrie stochastique à l'analyse d'images, Hermes Science Publications, pp.103-143, 2011, Série Signal et Image, IC2. <hal-00639697>

Rapport2 documents

  • Saima Ben Hadj, Florent Chatelain, Xavier Descombes, Josiane Zerubia. Estimation des paramètres de modèles de processus ponctuels marqués pour l'extraction d'objets en imagerie spatiale et aérienne haute résolution. [Rapport de recherche] RR-7350, INRIA. 2010, pp.81. <inria-00508431>
  • Florent Chatelain, Sophie Lambert-Lacroix, Jean-Yves Tourneret. Composite likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities. 2007. <hal-00853909>