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Publications

Affichage des publications 421 à 430 sur 1098 au total

Computer Science

Subspace Co-clustering avec Convolution Bilatérale sur Graphe

Le subspace clustering vise à partitionner un ensemble d’observations de haute dimension. Si cette approche a donné de bons résultats dans le domaine du partitionnement d’images, elle s’est avérée inefficace pour le partitionnement de données…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

Conférence Extraction et Gestion des Connaissances (EGC 2023) -

Analysis of PDEs

Refined Rellich boundary inequalities for the derivatives of a harmonic function

The classical Rellich inequalities imply that the L 2-norms of the normal and tangential derivatives of a harmonic function are equivalent. In this note, we prove several refined inequalities, which make sense even if the domain is not Lipschitz…

Siddhant Agrawal, Thomas Alazard

Proceedings of the American Mathematical Society -

Signal and Image processing

Video joint denoising and demosaicing with recurrent CNNs

Denoising and demosaicing are two critical components of the image/video processing pipeline. While historically these two tasks have mainly been considered separately, current neural network approaches allow to obtain state of-the-art results by…

Valéry Dewil, Adrien Courtois, Mariano Rodríguez, Thibaud Ehret, Nicola Brandonisio, Denis Bujoreanu, Gabriele Facciolo, Pablo Arias

Winter Conference on Applications of Computer Vision (WACV) -

Engineering Sciences

Multicriteria optimization of 3D printed wing using PLA reinforced with carbon fiber

The purpose of this work is the optimal conception of a wing built using fused deposition modeling (FDM), which is one of the main additive manufacturing (AM) process. PLA reinforced with carbon fiber was selected for the filament as we have defined…

David Bassir, Hao Yue, Khaoula Abouzaid, Patrice Salzenstein

AIP Conference Proceedings -

Machine Learning

On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent

Bayesian methods to solve imaging inverse problems usually combine an explicit data likelihood function with a prior distribution that explicitly models expected properties of the solution. Many kinds of priors have been explored in the literature,…

Rémi Laumont, Valentin de Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra

Journal of Mathematical Imaging and Vision -

Machine Learning

Apprentissage machine pour la prédiction de l'attrition: une étude comparative

La prédiction du taux d'attrition est une préoccupation économique majeure pour de nombreuses entreprises. Différentes approches d'apprentissage ont été proposées, toutefois le choix à priori du modèle le plus adapté reste une tâche non triviale car…

Louis Geiler, Séverine Affeldt, Mohamed Nadif

Extraction et gestion des connaissances (EGC'2022), Actes des 22èmes journées Extraction et Gestion de Connaissances -

Santé publique et épidémiologie

Dwelling mould profiles and current asthma in the CONSTANCES cohort

Marine Savouré, Tajidine Tsiavia, Séverine Affeldt, Emilie Fréalle, Valerie Bex, Orianne Dumas, Marcel Goldberg, Nicole Le Moual, Céline Ribet, Nicolas Roche, Marie Zins, Bénédicte Leynaert, Laurent Orsi, Rachel Nadif

ISEE 2022: 34th Annual Conference of the International Society of Environmental Epidemiology -