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» A Scheme for Approximating Probabilistic Inference
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JMLR
2010
164views more  JMLR 2010»
13 years 3 months ago
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms
The Uncapacitated Facility Location Problem (UFLP) is one of the most widely studied discrete location problems, whose applications arise in a variety of settings. We tackle the U...
Nevena Lazic, Brendan J. Frey, Parham Aarabi
JAIR
2007
112views more  JAIR 2007»
13 years 8 months ago
Cutset Sampling for Bayesian Networks
The paper presents a new sampling methodology for Bayesian networks that samples only a subset of variables and applies exact inference to the rest. Cutset sampling is a network s...
Bozhena Bidyuk, Rina Dechter
CVPR
2005
IEEE
14 years 10 months ago
Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization
We address the problem of regional color transfer between two natural images by probabilistic segmentation. We use a new Expectation-Maximization (EM) scheme to impose both spatia...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang
CRV
2011
IEEE
352views Robotics» more  CRV 2011»
12 years 8 months ago
Conformative Filter: A Probabilistic Framework for Localization in Reduced Space
— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
Chatavut Viriyasuthee, Gregory Dudek
ICPR
2004
IEEE
14 years 10 months ago
Motion Analysis Using Frame Differences with Spatial Gradient Measures
The paper considers making inferences about the underlying true 2-D motion when only evaluations of a local block-based cost function, the mean of absolute or squared differences,...
Pekka Sangi, Janne Heikkilä, Olli Silvé...