We consider the problem of image deconvolution. We foccus on a Bayesian approach which consists of maximizing an energy obtained by a Markov Random Field modeling. MRFs are classi...
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
- We present a model describing the electrical behavior of the heart tissue. Previous research in this field have studied this problem using PDEs (Partial Differential Equations) a...
The goal of this paper is to perform a timing optimization of a circuit described by a network of cells on a target structure whose connection delays have discrete values following...
S. A. Senouci, A. Amoura, Helena Krupnova, Gabriel...
We present a new approach to integrated motion estimation and segmentation by combining methods from discrete and continuous optimization. The velocity of each of a set of regions ...