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» Markov Approximation for Combinatorial Network Optimization
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UAI
2003
14 years 11 months ago
Approximate Inference and Constrained Optimization
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
Tom Heskes, Kees Albers, Bert Kappen
CEC
2010
IEEE
14 years 10 months ago
Local Optima Networks of the Quadratic Assignment Problem
Using a recently proposed model for combinatorial landscapes, Local Optima Networks (LON), we conduct a thorough analysis of two types of instances of the Quadratic Assignment Prob...
Fabio Daolio, Sébastien Vérel, Gabri...
SIAMJO
2010
121views more  SIAMJO 2010»
14 years 8 months ago
Optimization Strategies for the Vulnerability Analysis of the Electric Power Grid
Identifying small groups of lines, whose removal would cause a severe blackout, is critical for the secure operation of the electric power grid. We show how power grid vulnerabilit...
Ali Pinar, Juan Meza, Vaibhav Donde, Bernard C. Le...
ICALP
2009
Springer
15 years 10 months ago
Maximum Bipartite Flow in Networks with Adaptive Channel Width
Traditionally, combinatorial optimization problems (such as maximum flow, maximum matching, etc.) have been studied for networks where each link has a fixed capacity. Recent resear...
Yossi Azar, Aleksander Madry, Thomas Moscibroda, D...
CVPR
2008
IEEE
15 years 11 months ago
The patch transform and its applications to image editing
We introduce the patch transform, where an image is broken into non-overlapping patches, and modifications or constraints are applied in the "patch domain". A modified i...
Taeg Sang Cho, Moshe Butman, Shai Avidan, William ...