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Automatic skeletal muscle segmentation through random walks and graph-based s...
International audience -
Decomposable graphical models for individual and collective decision
This thesis focuses on the use of GAI-Nets, a graphical model for compact preference representation, in order to achieve the usual features of a recommender system in... -
Markov Random Field Modeling, Inference & Learning in Computer Vision & Image...
International audience -
Maximizing submodular functions using probabilistic graphical models
We consider the problem of maximizing submodular functions; while this problem is known to be NP-hard, several numerically efficient local search techniques with... -
Graphical Model Inference and Learning for Visual Computing
Computational vision and image analysis is a multidisciplinary scientific field that aims to make computers "see" in a way that is comparable to human perception. It is... -
Inverse inference in the asymmetric Ising model
Recent experimental techniques in biology made possible the acquisition of overwhelming amounts of data concerning complex biological networks, such as neural... -
A new approach for multi-band speech recognition based on probabilistic graph...
Colloque avec actes et comité de lecture. internationale.
