Florent Chatelain
Publications
Publications
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Suivi des ondes membranaires via le signal analytique 2DGRETSI 2025 – XXXème Colloque Francophone de Traitement du Signal et des Images, Aug 2025, Strasbourg, France |
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Sources separation in hyperspectral images for protoplanets detection and characterizationEUSIPCO 2024 - 32nd European Signal Processing Conference, EURASIP : EURopean Association for SIgnal Processing, Aug 2024, Lyon, France |
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Algorithme proximal efficace pour l'approximation Hankel rang faibleGRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI - Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.1073-1076 |
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Polarized signal singular spectrum analysis with complex SSAICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. ⟨10.1109/ICASSP49357.2023.10095954⟩ |
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HOSVD Tronquée : Analyse d'une Approximation Tensorielle RapideGRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI - Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France |
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Machine learning driven parameter identification for grey-box thermal modelling for buildingsBuilding Simulation 2023 - 18th International IBPSA Conference and Exhibition, Sep 2023, Shanghai, China |
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A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory ResourcesICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. pp.12253-12281 |
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Compromis performance-complexité pour les statistiques en grande dimensionGRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. pp.621-624 |
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Correction de dérive pour l'interférométrie de Mach-ZehnderGRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
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Une analyse par matrices aléatoires du clustering en ligne : comprendre l'impact des limitations en mémoireGRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. pp.1-4 |
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Propriétés statistiques des interféromètres de Mach-Zehnder à plusieurs sortiesGRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
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Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clusteringPMLR 2021 - 38th International Conference on Machine Learning, Jul 2021, Virtual, United States. pp.2156-2165 |
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Performance-Complexity Trade-Off in Large Dimensional StatisticsMLSP 2020 - IEEE 30th International Workshop on Machine Learning for Signal Processing, Sep 2020, Espoo (virtual), Finland. ⟨10.1109/MLSP49062.2020.9231568⟩ |
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Exact Distribution and High-dimensional Asymptotics for Improperness Test of Complex SignalsICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom. pp.8509-8513, ⟨10.1109/ICASSP.2019.8683518⟩ |
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Estimating the Rotational Synchronous Component from Instantaneous Angular Speed Signals in Variable Speed ConditionsCMMNO 2018 - International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, Jun 2018, Santander, Spain |
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Global error control procedure for spatially structured targetsEUSIPCO 2017 - 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece |
Density estimation for compound Cox processes on hyperspheresGSI 2017 - Geometric Science of Information, Nov 2017, Paris, France |
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Détection de cibles spatialement structurées sous contrôle global d'erreurGRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France |
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Méthode de σ-clipping par point fixe pour l'estimation de la distribution sous H0 dans le cadre de tests multiplesGRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France |
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Competing deterioration processes modeling and RUL estimation based on factorial hidden Markov modelsMIMAR 2016 - 9th IMA International Conference on Modelling in Industrial Maintenance and Reliability, Institute of Mathematics and its Applications, Jul 2016, Londres, United Kingdom. pp.108-113 |
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An adaptive robust regression method: Application to galaxy spectrum baseline estimationICASSP 2016 - 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2016, Shanghai, China. pp.4423 - 4427, ⟨10.1109/ICASSP.2016.7472513⟩ |
Parameter estimation for multiple scattering process on the sphereICASSP 2015 - 40th IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2015, Brisbane, Australia |
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Contrôle des erreurs pour la détection d'événements rares et faibles dans des champs de données massifsGRETSI 2015 - XXVème Colloque francophone de traitement du signal et des images, Sep 2015, Lyon, France |
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Error control for the detection of rare and weak signatures in massive dataEUSIPCO 2015 - 23th European Signal Processing Conference, Aug 2015, Nice, France |
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Multi-Branch Hidden Semi-Markov Modeling for RUL PrognosisRAMS 2015 - Annual Reliability and Maintainability Symposium, Jan 2015, Palm Harbor, FL, United States. pp.122-128, ⟨10.1109/RAMS.2015.7105132⟩ |
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Approche bayésienne non paramétrique pour l'imagerie de super-résolution PALMGRETSI 2015 - XXVème Colloque francophone de traitement du signal et des images, Sep 2015, Lyon, France |
Prognosis based on Multi-branch Hidden semi-Markov Models: A case studySAFEPROCESS 2015 - 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, IFAC, Sep 2015, Paris, France. pp.91-96 |
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Jump Markov Linear Systems for deterioration modeling and Remaining Useful Life estimationESREL 2015 - 25th European Safety and Reliability Conference, Sep 2015, Zurich, Switzerland. pp.1287-1295 |
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Hidden Markov Models for diagnostics and prognostics of systems under multiple deterioration modesESREL 2014 - 24th European Safety and Reliability Conference, Sep 2014, Wroclaw, Poland. pp.1197-1204 |
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Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral dataICASSP 2014 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. pp.1905-1909 |
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Rank-based multiple change-point detection in multivariate time seriesEUSIPCO 2014 - 22th European Signal Processing Conference, Sep 2014, Lisbonne, Portugal. pp.1337-1341 |
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Hierarchical Bayesian learning for electrical transient classificationICASSP 2013 - 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.s/n |
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von Mises-Fisher approximation of multiple scattering process on the hypersphereICASSP 2013 - 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada |
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Multivariate approach for brain decomposable connectivity networksSSP 2011 - 2011 IEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France. pp.817-820 |
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A Bayesian marked point process for object detection. Application to MUSE hyperspectral dataICASSP 2011 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.3628-3631 |
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Extraction de galaxies dans les données hyperspectrales MUSE : une approche objet non superviséeGRETSI 2011 - XXIIIème Colloque francophone de traitement du signal et des images, Sep 2011, Bordeaux, France |
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Modèle polynomial par morceaux muni de transitions régulières - Application à la modélisation de signaux transitoires électriquesGRETSI 2011 - XXIIIème Colloque francophone de traitement du signal et des images, Sep 2011, Bordeaux, France. pp.s/n |
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Graphe de connectivité cérébrale et longue dépendanceGRETSI 2011 - XXIIIème Colloque francophone de traitement du signal et des images, Sep 2011, Bordeaux, France |
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A Bayesian marked point process for object detection. Application to MUSE hyperspectral dataICASSP 2011 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.SPTM-L2.6 |
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A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression modelsICASSP 2011 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.s/n |
Maximum likelihood estimation of the polarization degree from two multi-look intensity imagesICASSP 2010 - IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2010, Dallas, United States. pp.1198-1201 |
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Parameter estimation for a marked point process within a framework of multidimensional shape extraction from remote sensing imagesISPRS Technical Commission III Symposium on Photogrammetry Computer Vision and Image Analysis (PCV 2010), Sep 2010, Paris, France. pp.1 |
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Masses des lois multinomiales négatives. Application au traitement d'images polarimétriquesSFdS 2010 - 42èmes Journées de Statistique, May 2010, Marseille, France |
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Bayesian curve fitting for transient signals by using smooth transition regression modelsCM 2010 - MFPT 2010 - 7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Jun 2010, Stratford-upon-Avon, United Kingdom. pp.n.c |
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Estimation des paramètres de processus ponctuels marqués dans le cadre de l'extraction d'objets en imagerie de télédétectionGRETSI 2009 - XXIIème Colloque francophone de traitement du signal et des images, Sep 2009, Dijon, France |
Multivariate Markovian gamma distributions for multitemporal sequences of SAR imagesSSP 2009 - 2009 IEEE Workshop on Statistical Signal Processing, Aug 2009, Cardiff, United Kingdom |
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Using marked point processes for the change-point problemCM 2009 - MFPT 2009 - 6th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Jun 2009, Dublin, Ireland. pp.n/a |
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Parameter estimation for marked point processes. Application to object extraction from remote sensing imagesEMMCVPR 2009 - 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Aug 2009, Bonn, Germany. pp.221-234 |
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Parameter estimation for sums of correlated gamma random variables. Application to anomaly detection in Internet TrafficIEEE Int. Conf. on Acoust., Speech and Signal Proc. ICASSP-08, IEEE, Mar 2008, Las Vegas, United States |
Estimating the polarization degree of polarimetric images using Maximum likelihood methodsIEEE Statistical Signal Processing Workshop 2007,, Sep 2007, Madison, United States |
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Parameter estimation for multivariate mixed poisson distributions2006, France |
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Parameter estimation for multivariate Gamma distributions, application to image registration2006, France |
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SPECT/CT registration with the DCC and MC simulations for SPECT imagingIEEE Nuclear Science Symposium and Medical Imaging Conference, Oct 2004, Rome, Italy |
Applications de la géometrie stochastique à l'analyse d'imagesXavier Descombes. Hermes Science-Lavoisier, pp.250, 2011, 978-2-7462-2145-1 |
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Tracking the Lyman alpha emission line in the CircumGalactic Medium in MUSE dataD. 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⟩ |
A Tutorial on Multiple Testing: False Discovery ControlMathematical Tools for Instrumentation & Signal Processing in Astronomy, 78-79, pp.163-178, 2016, ⟨10.1051/eas/1678008⟩ |
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Parametric Inference for Marked Point Processes in Image AnalysisX. Descombes. Stochastic Geometry for Image Analysis, Wiley, pp.113-159, 2012, Digital Signal and Image Processing Series |
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Inférence paramétrique pour les processus ponctuels marqués en analyse d'imagesXavier Descombes. Applications de la géométrie stochastique à l'analyse d'images, Hermes Science Publications, pp.103-143, 2011, Série Signal et Image, IC2 |
Compact calibrated interferometric characterisation systemFrance, Patent n° : WO2024052228 (A1). 2024 |
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Optimal microRNA sequencing depth to predict cancer patient survival with random forest and Cox models2023 |
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Asymptotic regime for impropriety tests of complex random vectors2020 |
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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 |
Composite likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities[Research Report] TR07014, Interuniversity Attraction Pole, Statistics network. 2007 |
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Lois Gamma multivariées pour le traitement d'images radarTraitement du signal et de l'image [eess.SP]. Institut National Polytechnique (Toulouse), 2007. Français. ⟨NNT : 2007INPT025H⟩ |
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Contributions à l’analyse des signaux en grande dimensionTraitement du signal et de l'image [eess.SP]. Université Grenoble - Alpes, 2025 |
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Introduction to Machine Learning - Data ClassificationDoctoral. France. 2018 |