About: Charles Bouveyron

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An Entity of Type : foaf:Person, within Data Space : data.idref.fr associated with source document(s)

Attributes	Values
type	Person
sameAs	Bouveyron, Charles (1979-.... ; auteur en mathématiques appliquées) Bouveyron, Charles (1979-.... ; auteur en mathématiques appliquées) Bouveyron, Charles (1979-.... ; auteur en mathématiques appliquées) Bouveyron, Charles (1979-.... ; auteur en mathématiques appliquées) Bouveyron, Charles (1979-.... ; auteur en mathématiques appliquées)
Life Event	http://www.idref.fr/112244785/birth
preferred label	Bouveyron, Charles (1979-.... ; auteur en mathématiques appliquées)
name	Charles Bouveyron
dbpedia-owl:citizenship	http://sws.geonames.org/3017382/
Language	http://lexvo.org/id/iso639-3/fra
isni:identifierValid	000000013975318X
Given name	Charles
familyName	Bouveyron
has biographical i...tion (Deprecated)	Professeur à Université Côte d'Azur, membre de l'équipe Modèles et algorithmes pour l’intelligence artificielle (MAASAI), Centre Inria d'Université Côte d'Azur (en 2022) Titulaire d'un doctorat de l'Université Joseph Fourier de Grenoble, spécialité \"Mathématiques appliquées\". Professeur, Université Côte d'Azur, Nice (2020). Professeur des universités, chercheur au Centre Inria d'Université Côte d'Azur (en 2023)
gender	male
ORCID iD	0000-0002-6956-4491
Scopus ID	20337002800
is sameAs of	Bouveyron, Charles (1979-.... ; auteur en mathématiques appliquées) Bouveyron, Charles (1979-.... ; auteur en mathématiques appliquées)
is Thesis advisor of	http://www.sudoc.fr/232446156/id http://www.sudoc.fr/232573107/id http://www.sudoc.fr/276985613/id http://www.sudoc.fr/257783865/id http://www.sudoc.fr/235677337/id http://www.sudoc.fr/268789096/id http://www.sudoc.fr/280023413/id http://www.sudoc.fr/256231729/id http://www.sudoc.fr/276804295/id
is Praeses of	http://www.sudoc.fr/224431706/id http://www.sudoc.fr/194922642/id http://www.sudoc.fr/201754800/id http://www.sudoc.fr/197711561/id http://www.sudoc.fr/260644013/id http://www.sudoc.fr/242782299/id http://www.sudoc.fr/274026848/id http://www.sudoc.fr/235453609/id http://www.sudoc.fr/255014651/id http://www.sudoc.fr/257143238/id http://www.sudoc.fr/258177853/id
is Author of	http://www.sudoc.fr/112245382/id http://www.sudoc.fr/168692546/id Modélisation et classification des données de grande dimension, application à l'analyse d'images High dimensional data clustering On the estimation of the latent discriminative subspace in the Fisher-EM algorithm Robust clustering of high-dimensional data Un modèle de sous-graphes aléatoires pour l'analyse de la dynamique d'un réseau historique Modèles adaptatifs pour les mélanges de régressions Cluster dynamics in the collapsing Soviet shipping network High Dimensional Discriminant Analysis of MALDI imaging mass spectrometry data Simultaneous model-based clustering and visualization in the Fisher discriminative subspace A State-Space Model for the Dynamic Random Subgraph Model Une nouvelle méthode de classification en grande dimension pour la reconnaissance de formes The dynamic latent block model for the co-clustering of evolving binary matrices Classification of high dimensional data: High Dimensional Discriminant Analysis The Latent Topic Block Model for the Co-Clustering of Textual Interaction Data Hierarchical clustering with discrete latent variable models and the integrated classification likelihood The Random Subgraph Model for the Analysis of an Ecclesiastical Network in Merovingian Gaul The discriminative functional mixture model for a comparative analysis of bike sharing systems Model-Based Clustering of High-Dimensional Data: A review Model-based Clustering of High-Dimensional Data in Astrophysics Model-based clustering and classification for data science, with applications in R Adaptive mixtures of regressions: Improving predictive inference when population has changed Combining a Relaxed EM Algorithm with Occam's Razor for Bayesian Variable Selection in High-Dimensional Regression Parsimonious Gaussian Process Models for the Classification of Multivariate Remote Sensing Images Dimension Reduction and Classification Methods for Object Recognition in Vision Radiomics: How to Make Medical Images Speak? Cluster Identification in Maritime Flows with Stochastic Methods Supervised classification and visualization of social networks based on a probabilistic latent space model Classification of complex data with model-based techniques The dynamic random subgraph model for the clustering of evolving networks http://www.sudoc.fr/24693767X/id Gaussian mixture models for the classification of high-dimensional vibrational spectroscopy data Intrinsic Dimension Estimation by Maximum Likelihood in Probabilistic PCA Supervised classification of categorical data with uncertain labels for DNA barcoding http://www.sudoc.fr/257808744/id Theoretical and practical considerations on the convergence properties of the Fisher-EM algorithm Co-Clustering of Multivariate Functional Data for the Analysis of Air Pollution in the South of France Classification supervisée et non supervisée des données de grande dimension High-Dimensional Mixture Models For Unsupervised Image Denoising (HDMI) DeepLTRS: A deep latent recommender system based on user ratings and reviews Classiﬁcation of high-dimensional data for cervical cancer detection Classification of high dimensional data for cervical cancer detection Modèles adaptatifs pour les mélanges de régressions High-Dimensional Data Clustering Unsupervised classification of SDSS galaxy spectra An overview on high-dimensional data classification with model-based techniques funHDDC : extension du package R pour le clustering de courbes fonctionnelles multivariées HDclassif: An R Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data Probabilistic Fisher discriminant analysis: A robust and flexible alternative to Fisher discriminant analysis Adaptive linear models in regression for the modeling of housing market in different U.S. cities Model-based clustering of high-dimensional data : an overview and some recent advances Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring http://www.numdam.org/item/JSFS_2011__152_3_1_0#id Object localization by subspace clustering of local descriptors Un algorithme EM pour une version parcimonieuse de l’analyse en composantes principales probabiliste Model-Based Clustering and Classification for Data Science A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering Unobserved classes and extra variables in high-dimensional discriminant analysis

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