QARMA

éQuipe AppRentissage et MultimediA

Mots clés

Responsable

Thierry ARTIERES

Membres permanents

Cecile Capponi Francois Denis Liva Ralaivola Remi Eyraud
Stephane Ayache Valentin Emiya Francois-xavier Dupe Hachem Kadri
Thierry Artieres Ronan Sicre

Membres non permanents

Wang Qi Riikka Huusari Baptiste Pugnaire Qiqi Wang
Ziyu Guo Ichrak Toumi Tom Dagens Luc Giffon
Quentin Ferre Ama-marina Kreme Baptiste Bauvin

Objectif scientifique

QARMA devotes its research to machine learning and its applications to multimedia mining problems. It is particularly interested in theoretical aspects of machine learning, such as establishing consistency results for learning procedures, learning stochastic rational languages, dealing with non-IID data, developing new methods for operator-valued kernels and taking advantage of the information of multiview data. The problems tackled by the team stem from real-world problems from multimedia mining. It therefore entails the need for proper modeling/formalization, for scalable learning algorithms and for an awareness of recent developments in Big Data processing.

Web site: http://qarma.lif.univ-mrs.fr

Voir aussi dans «Calcul»

ACRO CANA COALA
Tutelles