Nombre de documents

86

CV de Charles Bouveyron


Thèse1 document

  • Charles Bouveyron. Modélisation et classification des données de grande dimension : application à l'analyse d'images.. Mathématiques [math]. Université Joseph-Fourier - Grenoble I, 2006. Français. <tel-00109047v2>

Communication dans un congrès46 documents

  • Charles Bouveyron, Etienne Côme, Julien Jacques. Le modèle DFM pour une analyse comparative des systèmes de vélos en libre service. 48èmes Journées de Statistique organisée par la Société Française de Statistique, 2016, Montpellier, France. <hal-01383938>
  • Charles Bouveyron, Julien Jacques. funFEM: an R package for functional data clustering. Quatrième Rencontres R, 2015, Grenoble, France. 2015. <hal-01383951>
  • Rawya Zreik, Pierre Latouche, Charles Bouveyron. A State-Space Model for the Dynamic Random Subgraph Model. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.231-236. <hal-01199634>
  • Charles Bouveyron, Julien Jacques. Un algorithme EM pour une version parcimonieuse de l’analyse en composantes principales probabiliste. EGC 2015 - 15ème conférence internationale sur l'extraction et la gestion des connaissances, Jan 2015, Luxembourg, Luxembourg. 2015, <https://ida2015.univ-st-etienne.fr>. <hal-01241262>
  • Mathieu Fauvel, Charles Bouveyron, Stephane Girard. Parsimonious Gaussian Process Models for the Classification of Multivariate Remote Sensing Images. ICASSP 2014 - IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2014, Florence, Italy. IEEE, pp.2913-2916, 2014, <10.1109/ICASSP.2014.6854133>. <hal-01062378>
  • Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jerome Lacaille. Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring. T. Villmann, F.M. Schleif, M. Kaden, M. Lange. 10th International Workshop on Self-Organizing Maps, Jul 2014, Mittweida, Germany. Springer, 295, pp.145-155, 2014, Advances in Self-Organizing Maps and Learning Vector Quantization AISC,. <10.1007/978-3-319-07695-9_14>. <hal-01169573>
  • Charles Bouveyron, P Latouche, Rawya Zreik. Un modèle de sous-graphes aléatoires pour l'analyse de la dynamique d'un réseau historique. 46èmes Journées de Statistique de la SFdS, Jun 2014, Rennes, France. pp.106-107. <hal-01199638>
  • Laurent Bergé, Charles Bouveyron, Stephane Girard. HDclassif: An R Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data. 1ères Rencontres R, Jul 2012, Bordeaux, France. <hal-00717506>
  • Charles Bouveyron, Mathieu Fauvel, Stephane Girard. Processus gaussiens parcimonieux pour la classification générative de données hétérogènes. 44èmes Journées de Statistique, May 2012, Bruxelles, Belgium. <hal-00707059>
  • Charles Bouveyron, Camille Brunet. Considérations théoriques sur la convergence de l'algorithme Fisher-EM. 44èmes Journées de Statistique de la Société Française de Statistique, 2012, Bruxelles, Belgium. <hal-00707060>
  • Charles Bouveyron, Mathieu Fauvel, Stephane Girard. Kernel discriminant analysis and clustering with parsimonious Gaussian process models. OFSD 2012 - ICML workshop on Object, Functional and Structured Data: towards next generation kernel-based methods, Jun 2012, Edinburgh, United Kingdom. <hal-00707056>
  • Charles Bouveyron, Camille Brunet. Discriminative variable selection for clustering with the sparse Fisher-EM algorithm. 14th International Conference on Applied Stochastic Models and Data Analysis, 2011, Rome, Italy. <hal-00707053>
  • Charles Bouveyron, Camille Brunet. Clustering et visualisation dans le sous-espace discriminant de Fisher : quelques avancées récentes. 43èmes Journées de Statistique de la Société Française de Statistique, 2011, Tunisia. <hal-00707058>
  • Charles Bouveyron. Parsimonious and sparse Gaussian models for high-dimensional clustering. International Classification Conference 2011, 2011, United Kingdom. <hal-00707047>
  • Charles Bouveyron, Camille Brunet. Probabilistic Fisher discriminant analysis. 19th European Symposium on Artificial Neural Networks, 2011, Bruges, Belgium. <hal-00707051>
  • Charles Bouveyron, Camille Brunet. Discriminative variable selection for clustering with the sparse Fisher-EM algorithm. 14th International Conference on Applied Stochastic Models and Data Analysis, 2011, Rome, Italy. <hal-00707052>
  • Charles Bouveyron, Anastasios Bellas. Robust clustering of high-dimensional data. 20th European Symposium on Artificial Neural Networks, 2011, Bruges, Belgium. <hal-00707055>
  • Charles Bouveyron, Julien Jacques. Model-based Clustering of Time Series in Group-specific Functional Subspaces. 12th annual conference of the International Federation of Classification Societies, 2011, Frankfurt, Germany. <hal-00707054>
  • Charles Bouveyron, Julien Jacques. Adaptive mixtures of regressions : improving predictive inference when population has changed. 4th conference on Computational Methods for Modelling and Learning in Social and Human Sciences (MASHS'10), 2010, Lille, France. <hal-00707048>
  • Charles Bouveyron, Gilles Celeux, Stephane Girard. Intrinsic Dimension Estimation by Maximum Likelihood in Probabilistic PCA. IMS 2010 - 73rd Annual Meeting of the Institute of Mathematical Statistics, Aug 2010, Gothenburg, Sweden. <hal-00707049>
  • Charles Bouveyron. Classification générative des données de grande dimension. Journées Modélisation Aléatoire et Statistique (MAS) of the SMAI society, 2010, Bordeaux, France. <hal-00707057>
  • Charles Bouveyron. Adaptive Mixture Discriminant Analysis for Supervised Learning with Unobserved Classes. 19th International Conference on Computational Statistics (COMPSTAT'10), 2010, France. <hal-00707050>
  • Charles Bouveyron. Model-based clustering of high-dimensional data : an overview and some recent advances. 17th Summer Working Group on Model-Based Clustering of the Department of Statistics of the University of Washington, 2010, Grenoble, France. <hal-00707046>
  • Charles Bouveyron, Camille Brunet. Clustering in Fisher Discriminative Subspaces. 13th International Conference on Applied Stochastic Models and Data Analysis (ASMDA 2009), Jun 2009, Vilnius, Lithuania. (elec. proc), 2009. <hal-00375581>
  • Charles Bouveyron, Camille Brunet, Vincent Vigneron. Classification of high-dimensional data for cervical cancer detection. 17th European Symposium on Artificial Neural Networks (ESANN 2009), Apr 2009, Bruges, Belgium. pp.361--366, 2009. <hal-00407836>
  • Charles Bouveyron, Stephane Girard, Madalina Olteanu. Supervised classification of categorical data with uncertain labels for DNA barcoding. ESANN 2009 - 11th European Symposium on Artificial Neural Networks, Apr 2009, Bruges, Belgium. d-side publications, pp.29-34, 2009. <hal-00407834>
  • Charles Bouveyron, Etienne Côme, Hugh Chipman. Supervised classification and visualization of social networks based on a probabilistic latent space model. 7th International Workshop on Mining and Learning with Graphs, Jul 2009, Leuven, Belgium. <hal-00407831>
  • Charles Bouveyron. Weakly-supervised classification with mixture models for cervical cancer detection. 10th International Work-Conference on Artificial Neural Networks (IWANN'09), 2009, Salamanca, Spain. pp.1021-1028, 2009. <hal-00407833>
  • Charles Bouveyron, Julien Jacques. Modèles adaptatifs pour les mélanges de régressions. 41èmes Journées de Statistique de la Société Française de Statistique, 2009, Bordeaux, France. <hal-00707061>
  • Charles Bouveyron, Julien Jacques. Modèles adaptatifs pour les mélanges de régressions. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. 2009. <inria-00386638>
  • Charles Bouveyron, Camille Brunet. Classification automatique dans les sous-espaces discriminants de Fisher. 41èmes Journées de Statistique, SFdS, Bordeaux, May 2009, Bordeaux, France, France. 2009. <inria-00386652>
  • Charles Bouveyron, Theodore Alexandrov. High Dimensional Discriminant Analysis of MALDI imaging mass spectrometry data. 11th International Federation of Classification Societies Conference, 2009, Dresden, Germany. <hal-00407837>
  • Charles Bouveyron, Camille Brunet, Vincent Vigneron. Classification of high dimensional data for cervical cancer detection. 17th European Symposium on Artificial Neural Networks (ESANN 2009), Apr 2009, Bruges, Belgium. <hal-00394431>
  • Charles Bouveyron. Classification of complex data with model-based techniques. 1st joint meeting of the Statistical Society of Canada and the Société Française de Statistique, 2008, Canada. <hal-00707045>
  • Charles Bouveyron, Stephane Girard. Robust supervised classification with Gaussian mixtures: learning from data with uncertain labels. COMPSTAT'2008 - 18th International Conference on Computational Statistics, Aug 2008, Porto, Portugal. pp.129-136, 2008. <hal-00270654>
  • Charles Bouveyron. An overview on high-dimensional data classification with model-based techniques. 8th International Conference on Operations Research, Feb 2008, Havana, Cuba. <hal-00230854>
  • Charles Bouveyron. Classification of complex data with model-based techniques. 1st joint meeting of the Statistical Society of Canada and the Société Française de Statistique, May 2008, Ottawa, Canada. <hal-00230878>
  • Charles Bouveyron, Julien Jacques. Adaptive linear models in regression for the modeling of housing market in different U.S. cities. Computational Methods for Modelling and Learning in Social and Human Sciences (MASHS'08), Jun 2008, Créteil, France. 2008. <hal-00272874>
  • Charles Bouveyron, Julien Jacques. Adaptive linear models for regression. 1st joint meeting of the Statistical Society of Canada and the Société Française de Statistique, May 2008, Ottawa, Canada. 2008. <hal-00272875>
  • Charles Bouveyron, Juho Kannala, Cordelia Schmid, Stéphane Girard. Object localization by subspace clustering of local descriptors. Prem Kalra and Shmuel Peleg. 5th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP '06), Dec 2006, Madurai, India. Springer, 4338, pp.457-467, 2006, Lecture Notes in Computer Science (LNCS); Computer Vision, Graphics and Image Processing. <http://www.springerlink.com/content/45g528132n753570/>. <10.1007/11949619_41>. <inria-00548589>
  • Charles Bouveyron, Stéphane Girard, Cordelia Schmid. High dimensional data clustering. Alfredo Rizzi and Maurizio Vichi. 17th International Conference on Computational Statistics (Compstat '06), Aug 2006, Rome, Italy. Springer-Verlag, pp.813--820, 2006. <inria-00548591>
  • Charles Bouveyron, Stephane Girard, Cordelia Schmid. Une méthode de classification des données de grande dimension. 37e Journées de Statistique de la Société Française de Statistique, Jun 2005, Pau, France. 2005. <inria-00548514>
  • Charles Bouveyron, Stephane Girard, Cordelia Schmid. Une nouvelle méthode de classification en grande dimension pour la reconnaissance de formes. 20ème colloque GRETSI sur le traitement du signal et des images, Sep 2005, Louvain-la-Neuve, Belgique. Groupe d'Etudes du Traitement du Signal et des Images (GRETSI), pp.365-368, 2006, <http://hdl.handle.net/2042/13856>. <inria-00548515>
  • Charles Bouveyron, Stephane Girard, Cordelia Schmid. Classification of high dimensional data: High Dimensional Discriminant Analysis. Subspace, Latent Structure and Feature Selection techniques: Statistical and Optimisation perspectives Workshop, Feb 2005, Bohinj, Slovenia. 2005. <inria-00548517>
  • Charles Bouveyron, Stephane Girard, Cordelia Schmid. High Dimensional Discriminant Analysis. International Conference on Applied Stochastic Models and Data Analysis, May 2005, Brest, France. pp.526--534, 2005, <http://conferences.telecom-bretagne.eu/asmda2005/article8fd3.html?id_article=37>. <inria-00548516>
  • Charles Bouveyron, Stephane Girard, Cordelia Schmid. Dimension Reduction and Classification Methods for Object Recognition in Vision. 5th French-Danish Workshop on Spatial Statistics and Image Analysis in Biology, May 2004, Saint-Pierre de Chartreuse, France. pp.109--113, 2004. <inria-00548547>

Rapport2 documents

  • Charles Bouveyron, Stéphane Girard, Cordelia Schmid. High-dimensional data clustering. [Research Report] 2006. <inria-00548573>
  • Charles Bouveyron, Stéphane Girard, Cordelia Schmid. Analyse Discriminante de Haute Dimension. [Rapport de recherche] RR-5470, INRIA. 2005, pp.46. <inria-00071243>

Document associé à des manifestations scientifiques3 documents

  • Charles Bouveyron. Classification générative des données de grande dimension : état de l'art et avancées récentes. Journées MAS et Journée en l'honneur de Jacques Neveu, Aug 2010, Talence, France. <inria-00510571>
  • Charles Bouveyron, Francois Caron, Marie Chavent. Classification. Journées MAS et Journée en l'honneur de Jacques Neveu, Aug 2010, Talence, France. <inria-00496744>
  • Stephane Girard, Charles Bouveyron, Cordelia Schmid. Classification des données de grande dimension: application à la vision par ordinateur. 2èmes Rencontres Inter-Associations sur la classification et ses applications (RIAs '06), 2006, Lyon, France. <hal-00985473>

Article dans une revue27 documents

  • Charles Bouveyron, P Latouche, R Zreik. The stochastic topic block model for the clustering of vertices in networks with textual edges. Statistics and Computing, Springer Verlag (Germany), 2016, <10.1007/s11222-016-9713-7>. <hal-01299161>
  • Jean-Michel Poggi, Charles Bouveyron, Georges Hebrail, François-Xavier Jollois. UN DU D'ANALYSTE BIG DATA EN FORMATION CONTINUE COURTE, AU NIVEAU L3. Statistique et Enseignement (ISSN 2108-6745), Société Française de Statistique, 2016, 7 (1), pp.127-134. <http://publications-sfds.math.cnrs.fr/index.php/StatEns>. <hal-01461589>
  • Rawya Zreik, Pierre Latouche, Charles Bouveyron. The dynamic random subgraph model for the clustering of evolving networks. Computational Statistics, Springer Verlag, 2016, <10.1007/s00180-016-0655-5>. <hal-01122393v3>
  • Mathieu Fauvel, Charles Bouveyron, Stephane Girard. Parsimonious Gaussian process models for the classification of hyperspectral remote sensing images. IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, 2015, 12 (12), pp.2423-2427. <10.1109/LGRS.2015.2481321>. <hal-01203269>
  • Charles Bouveyron, Etienne Côme, Julien Jacques. The discriminative functional mixture model for a comparative analysis of bike sharing systems. The Annals of Applied Statistics, 2015, in press. <hal-01024186v3>
  • Charles Bouveyron, Mathieu Fauvel, Stephane Girard. Kernel discriminant analysis and clustering with parsimonious Gaussian process models. Statistics and Computing, Springer Verlag (Germany), 2015, 25 (6), pp.1143-1162. <10.1007/s11222-014-9505-x>. <hal-00687304v4>
  • Charles Bouveyron, Julien Jacques. Adaptive mixtures of regressions: Improving predictive inference when population has changed. Communication in Statistics - Simulation and Computation, 2014, 43 (10), pp.22. <10.1080/03610918.2012.758737>. <hal-00477597v3>
  • Charles Bouveyron. Adaptive Mixture Discriminant Analysis for Supervised Learning with Unobserved Classes. Journal of Classification, Springer Verlag, 2014, 31 (1), pp.49-84. <10.1007/s00357-014-9147-x>. <hal-00392297v4>
  • Charles Bouveyron, Laurent Jegou, Yacine Jernite, Stéphane Lamassé, Pierre Latouche, et al.. The Random Subgraph Model for the Analysis of an Ecclesiastical Network in Merovingian Gaul. The Annals of Applied Statistics, 2014, 8 (1), pp.377-405. <10.1214/13-AOAS691>. <hal-00764160v2>
  • Charles Bouveyron, Camille Brunet-Saumard. Discriminative variable selection for clustering with the sparse Fisher-EM algorithm. Computational Statistics, Springer Verlag, 2014, 29 (3-4), pp.489-513. <10.1007/s00180-013-0433-6>. <hal-00685183v2>
  • Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille. Model-based Clustering of High-dimensional Data Streams with Online Mixture of Probabilistic PCA. Advances in Data Analysis and Classification, Springer Verlag, 2013, 7, pp.281-300. <hal-00759945>
  • Charles Bouveyron. Probabilistic model-based discriminant analysis and clustering methods in chemometrics. Journal of Chemometrics, Wiley, 2013, in press. <10.1002/cem.2560>. <hal-00875883>
  • Charles Bouveyron, Camille Brunet. Model-Based Clustering of High-Dimensional Data: A review. Computational Statistics and Data Analysis, Elsevier, 2013, 71, pp.52-78. <10.1016/j.csda.2012.12.008>. <hal-00750909>
  • Charles Bouveyron, Camille Brunet. Theoretical and practical considerations on the convergence properties of the Fisher-EM algorithm. Journal of Multivariate Analysis, Elsevier, 2012, 109, pp.29-41. <10.1016/j.jmva.2012.02.012>. <hal-00633744>
  • Charles Bouveyron, Camille Brunet. Simultaneous model-based clustering and visualization in the Fisher discriminative subspace. Statistics and Computing, Springer Verlag (Germany), 2012, 22 (1), pp.301--324. <10.1007/s11222-011-9249-9>. <hal-00492406v4>
  • Laurent Bergé, Charles Bouveyron, Stephane Girard. HDclassif: an R Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data. Journal of Statistical Software, University of California, Los Angeles, 2012, 46 (6), pp.1-29. <hal-00541203v4>
  • Charles Bouveyron, Camille Brunet. Probabilistic Fisher discriminant analysis: A robust and flexible alternative to Fisher discriminant analysis. Neurocomputing, Elsevier, 2012, 90, pp.12-22. <hal-00609007v2>
  • Charles Bouveyron, Julien Jacques. Model-based Clustering of Time Series in Group-specific Functional Subspaces. Advances in Data Analysis and Classification, Springer Verlag, 2011, 5 (4), pp.281-300. <hal-00559561v2>
  • Charles Bouveyron, Gilles Celeux, Stephane Girard. Intrinsic Dimension Estimation by Maximum Likelihood in Isotropic Probabilistic PCA. Pattern Recognition Letters, Elsevier, 2011, 32 (14), pp.1706-1713. <10.1016/j.patrec.2011.07.017>. <hal-00440372v3>
  • Charles Bouveyron, Patrice Gaubert, Julien Jacques. Adaptive models in regression for modeling and understanding evolving populations. Journal of Case Studies in Business, Industry and Government Statistics (CSBIGS), 2011, 4 (2), pp.83-92. <hal-00517673>
  • Charles Bouveyron, Camille Brunet. On the estimation of the latent discriminative subspace in the Fisher-EM algorithm. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2011, 152 (3), pp.98-115. <hal-00632926>
  • Charles Bouveyron, Julien Jacques. Adaptive Linear Models for Regression: improving prediction when population has changed. Pattern Recognition Letters, Elsevier, 2010, 31 (14), pp.2237-2247. <hal-00305987v3>
  • Julien Jacques, Charles Bouveyron, Stephane Girard, Olivier Devos, Ludovic Duponchel, et al.. Gaussian mixture models for the classification of high-dimensional vibrational spectroscopy data. Journal of Chemometrics, Wiley, 2010, 24 (11-12), pp.719-727. <10.1002/cem.1355>. <hal-00459947v2>
  • Charles Bouveyron, Stephane Girard. Classification supervisée et non supervisée des données de grande dimension. La revue de Modulad, Modulad, 2009, 40, pp.81-102. <hal-00394327>
  • Charles Bouveyron, Stephane Girard. Robust supervised classification with mixture models: Learning from data with uncertain labels. Pattern Recognition, Elsevier, 2009, 42 (11), pp.2649-2658. <10.1016/j.patcog.2009.03.027>. <hal-00325263v2>
  • Charles Bouveyron, Stephane Girard, Cordelia Schmid. High-Dimensional Data Clustering. Computational Statistics and Data Analysis, Elsevier, 2007, 52 (1), pp.502-519. <10.1016/j.csda.2007.02.009>. <hal-00022183v4>
  • Charles Bouveyron, Stephane Girard, Cordelia Schmid. High-Dimensional Discriminant Analysis. Communications in Statistics - Theory and Methods, Taylor & Francis, 2007, 36 (14), pp.2607-2623. <http://www.informaworld.com/smpp/content~db=all~content=a782997918~frm=abslink>. <10.1080/03610920701271095>. <inria-00176283>

Chapitre d'ouvrage4 documents

  • Charles Bouveyron. Model-based clustering of high-dimensional data in Astrophysics. Statistics for Astrophysics: Clustering and Classification, EAS Publications Series, 77, EDP Sciences, pp.91-119, 2016. <hal-01264844v2>
  • Rawya Zreik, Pierre Latouche, Charles Bouveyron. Cluster Identification in Maritime Flows with Stochastic Methods. Maritime Networks: Spatial Structures and Time Dynamics, Routledge, 2015. <hal-01199613>
  • Farid Beninel, Christophe Biernacki, Charles Bouveyron, Julien Jacques, Alexandre Lourme. PARAMETRIC LINK MODELS FOR KNOWLEDGE TRANSFER IN STATISTICAL LEARNING. Dragan Ilic. Knowledge Transfer: Practices, Types and Challenges, Nova Publishers, 2012. <hal-00942660>
  • Charles Bouveyron, Stéphane Girard, Cordelia Schmid. Class-specific subspace discriminant analysis for high-dimensional data. Craig Saunders and Marko Grobelnik and Steve Gunn and John Shawe-Taylor. Subspace, Latent Structure and Feature Selection, Statistical and Optimization, Perspectives Workshop, SLSFS 2005, Springer, pp.139-150, 2006, Lecture Notes in Computer Science volume 3940, <10.1007/11752790_9>. <hal-00104065>

Pré-publication, Document de travail2 documents

  • Charles Bouveyron, Pierre Latouche, Pierre-Alexandre Mattei. Exact Dimensionality Selection for Bayesian PCA. 2017. <hal-01484099>
  • Charles Bouveyron, Pierre Latouche, Pierre-Alexandre Mattei. Bayesian Variable Selection for Globally Sparse Probabilistic PCA. An earlier version of this paper appeared in the Proceedings of the 19th International Conference.. 2016. <hal-01310409v2>

HDR1 document

  • Charles Bouveyron. Contributions à l'apprentissage statistique en grande dimension, adaptatif et sur données atypiques. Méthodologie [stat.ME]. Université Panthéon-Sorbonne - Paris I, 2012. <tel-00761130>