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» Discriminated Belief Propagation
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JAIR
2006
143views more  JAIR 2006»
14 years 11 months ago
Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...
Tom Heskes
ACCV
2010
Springer
14 years 6 months ago
Four Color Theorem for Fast Early Vision
Recent work on early vision such as image segmentation, image restoration, stereo matching, and optical flow models these problems using Markov Random Fields. Although this formula...
Radu Timofte, Luc J. Van Gool
INFOCOM
2011
IEEE
14 years 2 months ago
SigSag: Iterative detection through soft message-passing
—The multiple-access framework of ZigZag decoding [1] is a useful technique for combating interference via multiple repeated transmissions, and is known to be compatible with dis...
Arash Saber Tehrani, Alexandros G. Dimakis, Michae...
KAIS
2011
79views more  KAIS 2011»
14 years 6 months ago
A general framework for measuring inconsistency through minimal inconsistent sets
Abstract. Hunter and Konieczny explored the relationships between measures of inconsistency for a belief base and the minimal inconsistent subsets of that belief base in several of...
Kedian Mu, Weiru Liu, Zhi Jin
ICPR
2008
IEEE
16 years 13 days ago
Uncertainty minimization in multi-sensor localization systems using model selection theory
Belief propagation methods are the state-of-the-art with multi-sensor state localization problems. However, when localization applications have to deal with multi-modality sensors...
Andreas Koschan, David L. Page, Hamparsum Bozdogan...