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NIPS
2008
13 years 5 months ago
Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation
We show that an important and computationally challenging solution space feature of the graph coloring problem (COL), namely the number of clusters of solutions, can be accurately...
Lukas Kroc, Ashish Sabharwal, Bart Selman
ICAI
2010
13 years 2 months ago
Exact Loopy Belief Propagation on Euler Graphs
Belief propagation is widely used in inference of graphical models. It yields exact solutions when the underlying graph is singly connected. When the graph contains loops, double-c...
Chen-Hsiang Yeang
CIARP
2009
Springer
13 years 2 months ago
A Computer-Assisted Colorization Approach Based on Efficient Belief Propagation and Graph Matching
Abstract. Region-based approaches have been proposed to computerassisted colorization problem, typically using shape similarity and topology relations between regions. Given a colo...
Alexandre Noma, Luiz Velho, Roberto M. Cesar
CPAIOR
2008
Springer
13 years 6 months ago
Leveraging Belief Propagation, Backtrack Search, and Statistics for Model Counting
We consider the problem of estimating the model count (number of solutions) of Boolean formulas, and present two techniques that compute estimates of these counts, as well as eith...
Lukas Kroc, Ashish Sabharwal, Bart Selman
CVPR
2008
IEEE
14 years 6 months ago
(BP)2: Beyond pairwise Belief Propagation labeling by approximating Kikuchi free energies
Belief Propagation (BP) can be very useful and efficient for performing approximate inference on graphs. But when the graph is very highly connected with strong conflicting intera...
Ifeoma Nwogu, Jason J. Corso