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JAIR
2006
143views more  JAIR 2006»
13 years 8 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
TROB
2002
174views more  TROB 2002»
13 years 8 months ago
A general algorithm for robot formations using local sensing and minimal communication
Abstract-We study the problem of achieving global behavior in a group of distributed robots using only local sensing and minimal communication, in the context of formations. The go...
Jakob Fredslund, Maja J. Mataric
FOCM
2011
175views more  FOCM 2011»
13 years 3 months ago
Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization
The matrix rank minimization problem has applications in many fields such as system identification, optimal control, low-dimensional embedding etc. As this problem is NP-hard in ...
Donald Goldfarb, Shiqian Ma
ITC
2003
IEEE
123views Hardware» more  ITC 2003»
14 years 1 months ago
Exploiting Programmable BIST For The Diagnosis of Embedded Memory Cores
1 This paper addresses the issue of testing and diagnosing a memory core embedded in a complex SOC. The proposed solution is based on a P1500-compliant wrapper that follows a progr...
Davide Appello, Paolo Bernardi, Alessandra Fudoli,...
CVPR
2009
IEEE
15 years 3 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...