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JMLR
2010
149views more  JMLR 2010»
13 years 1 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
MVA
1998
230views Computer Vision» more  MVA 1998»
13 years 7 months ago
An Efficient Matching Algorithm for Segment-Based Stereo Vision Using Dynamic Programming Technique
An efficient matching method for segment-based stereo vision is proposed. A potential matching graph which describes the connectivity between candidate matching pairs of segments ...
Toshio Ueshiba, Yoshihiro Kawai, Yasushi Sumi, Fum...
JMLR
2012
11 years 8 months ago
Globally Optimizing Graph Partitioning Problems Using Message Passing
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
Elad Mezuman, Yair Weiss
ALMOB
2006
138views more  ALMOB 2006»
13 years 6 months ago
A combinatorial optimization approach for diverse motif finding applications
Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
Elena Zaslavsky, Mona Singh
ICALP
2009
Springer
14 years 6 months ago
Limits and Applications of Group Algebras for Parameterized Problems
The algebraic framework introduced in [Koutis, Proc. of the 35th ICALP 2008] reduces several combinatorial problems in parameterized complexity to the problem of detecting multili...
Ioannis Koutis, Ryan Williams