Charles Bouveyron

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 34

Top Topics

Gaussian Process Models

Variable Selection

Discriminant Analysis

Top Venues

Publications

Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection. Stat. Comput. 34 (5) (2024)
Giulia Marchello, Marco Corneli, Charles Bouveyron
Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM. ESANN (2023)
Giulia Marchello, Marco Corneli, Charles Bouveyron
A Deep Dynamic Latent Block Model for the Co-Clustering of Zero-Inflated Data Matrices. ECML/PKDD (1) (2023)
Rémi Boutin, Charles Bouveyron, Pierre Latouche
Embedded topics in the stochastic block model. Stat. Comput. 33 (5) (2023)
Fanny Simões, Charles Bouveyron, Frédéric Precioso
DeepWILD: Wildlife Identification, Localisation and estimation on camera trap videos using Deep learning. Ecol. Informatics 75 (2023)
Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
Sparse GEMINI for Joint Discriminative Clustering and Feature Selection. CoRR (2023)
Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
The graph embedded topic model. Neurocomputing 562 (2023)
Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. ICML (2023)
Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
Generalised Mutual Information: a Framework for Discriminative Clustering. CoRR (2023)
Rémi Boutin, Pierre Latouche, Charles Bouveyron
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges. CoRR (2023)
Baptiste Pouthier, Laurent Pilati, Giacomo Valenti, Charles Bouveyron, Frédéric Precioso
Another Point of View on Visual Speech Recognition. INTERSPEECH (2023)
Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
Deep latent position model for node clustering in graphs. ESANN (2022)
Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, Thomas Brendan Murphy
Unobserved classes and extra variables in high-dimensional discriminant analysis. Adv. Data Anal. Classif. 16 (1) (2022)
Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
Generalised Mutual Information for Discriminative Clustering. CoRR (2022)
Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
Generalised Mutual Information for Discriminative Clustering. NeurIPS (2022)
Giulia Marchello, Audrey Fresse, Marco Corneli, Charles Bouveyron
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance. Stat. Comput. 32 (3) (2022)
Rémi Boutin, Charles Bouveyron, Pierre Latouche
Embedded Topics in the Stochastic Block Model. CoRR (2022)
Baptiste Pouthier, Laurent Pilati, Leela K. Gudupudi, Charles Bouveyron, Frédéric Precioso
Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion. Interspeech (2021)
Etienne Côme, Nicolas Jouvin, Pierre Latouche, Charles Bouveyron
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood. Adv. Data Anal. Classif. 15 (4) (2021)
Baptiste Pouthier, Laurent Pilati, Leela K. Gudupudi, Charles Bouveyron, Frédéric Precioso
Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-based Multimodal Fusion. CoRR (2021)
Nicolas Jouvin, Charles Bouveyron, Pierre Latouche
A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering. Stat. Comput. 31 (4) (2021)
Alessandro Casa, Charles Bouveyron, Elena A. Erosheva, Giovanna Menardi
Co-clustering of Time-Dependent Data via the Shape Invariant Model. J. Classif. 38 (3) (2021)
Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
DeepLTRS: A deep latent recommender system based on user ratings and reviews. Pattern Recognit. Lett. 152 (2021)
Nicolas Jouvin, Pierre Latouche, Charles Bouveyron, Guillaume Bataillon, Alain Livartowski
Greedy clustering of count data through a mixture of multinomial PCA. Comput. Stat. 36 (1) (2021)
Amandine Schmutz, Julien Jacques, Charles Bouveyron, Laurence Chèze, Pauline Martin
Clustering multivariate functional data in group-specific functional subspaces. Comput. Stat. 35 (3) (2020)
Alexandre Saint-Dizier, Julie Delon, Charles Bouveyron
A Unified View on Patch Aggregation. J. Math. Imaging Vis. 62 (2) (2020)
Laurent R. Bergé, Charles Bouveyron, Marco Corneli, Pierre Latouche
The latent topic block model for the co-clustering of textual interaction data. Comput. Stat. Data Anal. 137 (2019)
Marco Corneli, Charles Bouveyron, Pierre Latouche, Fabrice Rossi
The dynamic stochastic topic block model for dynamic networks with textual edges. Stat. Comput. 29 (4) (2019)
Fanny Orlhac, Charles Bouveyron, Nicholas Ayache
Radiomics: How to Make Medical Images Speak? ERCIM News 2019 (118) (2019)
Antoine Houdard, Charles Bouveyron, Julie Delon
High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI). SIAM J. Imaging Sci. 11 (4) (2018)
Charles Bouveyron, Pierre Latouche, Rawya Zreik
The stochastic topic block model for the clustering of vertices in networks with textual edges. Stat. Comput. 28 (1) (2018)
Rawya Zreik, Pierre Latouche, Charles Bouveyron
The dynamic random subgraph model for the clustering of evolving networks. Comput. Stat. 32 (2) (2017)
Pierre Latouche, Pierre-Alexandre Mattei, Charles Bouveyron, Julien Chiquet
Combining a relaxed EM algorithm with Occam's razor for Bayesian variable selection in high-dimensional regression. J. Multivar. Anal. 146 (2016)
Pierre-Alexandre Mattei, Charles Bouveyron, Pierre Latouche
Globally Sparse Probabilistic PCA. AISTATS (2016)
Charles Bouveyron, Mathieu Fauvel, Stéphane Girard
Kernel discriminant analysis and clustering with parsimonious Gaussian process models. Stat. Comput. 25 (6) (2015)
Mathieu Fauvel, Charles Bouveyron, Stéphane Girard
Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 12 (12) (2015)
Charles Bouveyron, Julien Jacques
Un algorithme EM pour une version parcimonieuse de l'analyse en composantes principales probabiliste. EGC (2015)
Rawya Zreik, Pierre Latouche, Charles Bouveyron
A State-Space Model for the Dynamic Random Subgraph Model. ESANN (2015)
Mathieu Fauvel, Charles Bouveyron, Stéphane Girard
Parsimonious Gaussian process models for the classification of multivariate remote sensing images. ICASSP (2014)
Charles Bouveyron, Julien Jacques
Adaptive Mixtures of Regressions: Improving Predictive Inference when Population has Changed. Commun. Stat. Simul. Comput. 43 (10) (2014)
Charles Bouveyron, Camille Brunet-Saumard
Discriminative variable selection for clustering with the sparse Fisher-EM algorithm. Comput. Stat. 29 (3) (2014)
Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring. WSOM (2014)
Charles Bouveyron
Adaptive Mixture Discriminant Analysis for Supervised Learning with Unobserved Classes. J. Classif. 31 (1) (2014)
Charles Bouveyron, Camille Brunet-Saumard
Model-based clustering of high-dimensional data: A review. Comput. Stat. Data Anal. 71 (2014)
Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA. Adv. Data Anal. Classif. 7 (3) (2013)
Charles Bouveyron, Camille Brunet
Theoretical and practical considerations on the convergence properties of the Fisher-EM algorithm. J. Multivar. Anal. 109 (2012)
Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
Robust clustering of high-dimensional data. ESANN (2012)
Charles Bouveyron, Camille Brunet
Probabilistic Fisher discriminant analysis: A robust and flexible alternative to Fisher discriminant analysis. Neurocomputing 90 (2012)
Charles Bouveyron, Barbara Hammer, Thomas Villmann
Recent developments in clustering algorithms. ESANN (2012)
Charles Bouveyron, Camille Brunet
Simultaneous model-based clustering and visualization in the Fisher discriminative subspace. Stat. Comput. 22 (1) (2012)
Charles Bouveyron, Gilles Celeux, Stéphane Girard
Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA. Pattern Recognit. Lett. 32 (14) (2011)
Charles Bouveyron, Julien Jacques
Model-based clustering of time series in group-specific functional subspaces. Adv. Data Anal. Classif. 5 (4) (2011)
Charles Bouveyron, Camille Brunet
Probabilistic Fisher discriminant analysis. ESANN (2011)
Charles Bouveyron, Julien Jacques
Adaptive linear models for regression: Improving prediction when population has changed. Pattern Recognit. Lett. 31 (14) (2010)
Charles Bouveyron, Stéphane Girard
Robust supervised classification with mixture models: Learning from data with uncertain labels. Pattern Recognit. 42 (11) (2009)
Charles Bouveyron, Stéphane Girard
Classification supervisée et non supervisée en grande dimension. Monde des Util. Anal. Données 40 (2009)
Charles Bouveyron
Weakly-Supervised Classification with Mixture Models for Cervical Cancer Detection. IWANN (1) (2009)
Charles Bouveyron, Stéphane Girard, Madalina Olteanu
Supervised classification of categorical data with uncertain labels for DNA barcoding. ESANN (2009)
Charles Bouveyron, Camille Brunet, Vincent Vigneron
Classification of high-dimensional data for cervical cancer detection. ESANN (2009)
Charles Bouveyron, Hugh A. Chipman
Visualization and classification of graph-structured data: the case of the Enron dataset. IJCNN (2007)
Charles Bouveyron, Stéphane Girard, Cordelia Schmid
High-dimensional data clustering. Comput. Stat. Data Anal. 52 (1) (2007)
Charles Bouveyron, Juho Kannala, Cordelia Schmid, Stéphane Girard
Object Localization by Subspace Clustering of Local Descriptors. ICVGIP (2006)
Charles Bouveyron, Stéphane Girard, Cordelia Schmid
Class-Specific Subspace Discriminant Analysis for High-Dimensional Data. SLSFS (2005)