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» A mean field approach for optimization in discrete time
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VISAPP
2007
13 years 9 months ago
Image deconvolution using a stochastic differential equation approach
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...
Xavier Descombes, M. Lebellego, Elena Zhizhina
PAMI
2007
176views more  PAMI 2007»
13 years 8 months ago
Approximate Labeling via Graph Cuts Based on Linear Programming
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 ...
Nikos Komodakis, Georgios Tziritas
MSV
2004
13 years 10 months ago
Accurate Modeling and Simulation of Heart Tissue with GDEVS/Cell-DEVS
- 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...
Gabriel A. Wainer, Norbert Giambiasi
FPGA
1998
ACM
125views FPGA» more  FPGA 1998»
14 years 22 days ago
Timing Driven Floorplanning on Programmable Hierarchical Targets
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...
DAGM
2006
Springer
14 years 5 days ago
Near Real-Time Motion Segmentation Using Graph Cuts
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 ...
Thomas Schoenemann, Daniel Cremers