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56

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Journal articles15 documents

  • Guillaume Bruand, Florent Chatelain, Pierre Granjon, Nadine Martin, Christophe Duret. Reconstructing shaft orbit using angle measurement to detect bearing faults. Mechanical Systems and Signal Processing, Elsevier, In press, 139. ⟨hal-02408146⟩
  • Rémy Jardillier, Florent Chatelain, Laurent Guyon. Bioinformatics Methods to Select Prognostic Biomarker Genes from Large Scale Datasets: A Review. Biotechnology Journal, Wiley-VCH Verlag, 2018, 13 (12), pp.1800103. ⟨10.1002/biot.201800103⟩. ⟨hal-02078995⟩
  • Raphael Bacher, Céline Meillier, Florent Chatelain, Olivier Michel. Robust control of varying weak hyperspectral target detection with sparse non-negative representation. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (13), pp.3538-3550. ⟨10.1109/TSP.2017.2688965⟩. ⟨hal-01496201⟩
  • 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⟩
  • Thanh Trung Le, Florent Chatelain, Christophe Bérenguer. 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⟩
  • 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⟩
  • 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, 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, 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, and Vision, Optical Society of America, 2009, 26 (6), pp.1348-1359. ⟨10.1364/JOSAA.26.001348⟩. ⟨hal-00475975⟩
  • 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⟩

Conference papers34 documents

  • Florent Chatelain, Nicolas Le Bihan. Exact Distribution and High-dimensional Asymptotics for Improperness Test of Complex Signals. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom. pp.8509-8513, ⟨10.1109/ICASSP.2019.8683518⟩. ⟨hal-02148428⟩
  • Guillaume Bruand, Florent Chatelain, Pierre Granjon, Nadine Martin, Christophe Duret, et al.. Estimating the Rotational Synchronous Component from Instantaneous Angular Speed Signals in Variable Speed Conditions. International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMN0'2018), Jun 2018, Santander, Spain. ⟨hal-01761532⟩
  • Raphael Bacher, Florent Chatelain, Olivier Michel. Global error control procedure for spatially structured targets. 25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos Island, Greece. ⟨hal-01563903⟩
  • Florent Chatelain, Nicolas Le Bihan, Jonathan Manton. Density estimation for compound Cox processes on hyperspheres. Geometric Science of Information (GSI 2017), Nov 2017, Paris, France. ⟨hal-01655180⟩
  • Raphael Bacher, Florent Chatelain, Olivier Michel. Détection de cibles spatialement structurées sous contrôle global d'erreur. XXVIème colloque GRETSI (GRETSI 2017), Sep 2017, Juan-Les-Pins, France. ⟨hal-01563996⟩
  • Céline Meillier, Raphael Bacher, Florent Chatelain, Olivier Michel. Méthode de σ-clipping par point fixe pour l'estimation de la distribution sous H0 dans le cadre de tests multiples. XXVIème colloque GRETSI (GRETSI 2017), Sep 2017, Juan-Les-Pins, France. ⟨hal-01563994⟩
  • Thanh Trung Le, Florent Chatelain, Christophe Bérenguer. Competing deterioration processes modeling and RUL estimation based on factorial hidden Markov models. 9th IMA International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR), Institute of Mathematics and its Applications, Jul 2016, Londres, United Kingdom. pp.108-113. ⟨hal-01411405⟩
  • Raphael Bacher, Florent Chatelain, Olivier Michel. An adaptive robust regression method: Application to galaxy spectrum baseline estimation. 41st IEEE International Conference on Acoustics, Speech and SIgnal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.4423 - 4427, ⟨10.1109/ICASSP.2016.7472513⟩. ⟨hal-01462974⟩
  • Thanh Trung Le, Florent Chatelain, Christophe Bérenguer. Prognosis based on Multi-branch Hidden semi-Markov Models: A case study. 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS'15), IFAC, Sep 2015, Paris, France. pp.91-96. ⟨hal-01237916⟩
  • Florent Chatelain, Nicolas Le Bihan, Jonathan Manton. Parameter estimation for multiple scattering process on the sphere. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Apr 2015, Brisbane, Australia. ⟨hal-01655153⟩
  • Thanh Trung Le, Florent Chatelain, Christophe Bérenguer. Jump Markov Linear Systems for deterioration modeling and Remaining Useful Life estimation. 25th European Safety and Reliability Conference (ESREL 2015), Sep 2015, Zürich, Switzerland. pp.1287-1295. ⟨hal-01237909⟩
  • Raphael Bacher, Florent Chatelain, Laurent Guyon. Approche bayésienne non paramétrique pour l'imagerie de super-résolution PALM. XXVème colloque GRETSI (GRETSI 2015), Sep 2015, Lyon, France. ⟨hal-01463145⟩
  • Thanh Trung Le, Christophe Bérenguer, Florent Chatelain. Multi-Branch Hidden Semi-Markov Modeling for RUL Prognosis. Annual Reliability and Maintainability Symposium - RAMS 2015, Jan 2015, Orlando, FL, United States. pp.122-128, ⟨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⟩
  • 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. pp.1905-1909. ⟨hal-00991388⟩
  • Thanh Trung Le, Florent Chatelain, Christophe Bérenguer. Hidden Markov Models for diagnostics and prognostics of systems under multiple deterioration modes. 24th European Safety and Reliability Conference (ESREL 2014), Sep 2014, Wroclaw, Poland. pp.1197-1204. ⟨hal-01027509⟩
  • Flore Harlé, Florent Chatelain, Cedric Gouy-Pailler, Sophie Achard. Rank-based multiple change-point detection in multivariate time series. 22nd European Signal Processing Conference, EUSIPCO 2014, Sep 2014, Lisbonne, Portugal. pp.1337-1341. ⟨cea-01844442⟩
  • 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. ⟨hal-00639876⟩
  • 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. ⟨hal-00609204⟩
  • 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. ⟨hal-00639898⟩
  • 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. ⟨hal-00609133⟩
  • 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. ⟨hal-00639853⟩
  • 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. ⟨hal-00642152⟩
  • 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. ⟨hal-00639711⟩
  • 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. ⟨inria-00494739⟩
  • 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. ⟨hal-00481814⟩
  • 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. ⟨hal-00511097⟩
  • 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. ⟨hal-00526345⟩
  • Florent Chatelain, Jean-Yves Tourneret, Nadine Martin. Multivariate Markovian gamma distributions for multitemporal sequences of SAR images. 2009 IEEE Workshop on Statistical Signal Processing (SSP 2009), Aug 2009, Cardiff, United Kingdom. ⟨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. ⟨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. ⟨inria-00399258⟩
  • Florent Chatelain, Xavier Descombes, Josiane Zerubia. Parameter estimation for marked point processes. Application to object extraction from remote sensing images. 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition., Aug 2009, Bonn, Germany. pp.221-234. ⟨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, IEEE, Mar 2008, Las Vegas, United States. ⟨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. ⟨hal-00165749⟩

Books1 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⟩

Book sections4 documents

  • Raphael Bacher, Pierre Maho, Florent Chatelain, Olivier Michel. Tracking the Lyman alpha emission line in the CircumGalactic Medium in MUSE data. D. Mary; R. Flamary; C. Theys and C. Aime. Mathematical Tools for Instrumentation & Signal Processing in Astronomy, 78-79, EDP Sciences, pp.233-245, 2016, EAS Publications Series, 978-2-7598-9006-4. ⟨10.1051/eas/1678011⟩. ⟨hal-01503524⟩
  • Florent Chatelain. A Tutorial on Multiple Testing: False Discovery Control. Mathematical Tools for Instrumentation & Signal Processing in Astronomy, 78-79, pp.163-178, 2016, ⟨10.1051/eas/1678008⟩. ⟨hal-02079148⟩
  • 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⟩

Reports2 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. [Research Report] TR07014, Interuniversity Attraction Pole, Statistics network. 2007. ⟨hal-00853909⟩