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» Random Constraint Satisfaction: Theory Meets Practice
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AI
2010
Springer
13 years 7 months ago
Soft arc consistency revisited
The Valued Constraint Satisfaction Problem (VCSP) is a generic optimization problem defined by a network of local cost functions defined over discrete variables. It has applicatio...
Martin C. Cooper, Simon de Givry, M. Sanchez, Thom...
MP
2011
13 years 2 months ago
Null space conditions and thresholds for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
CP
2003
Springer
14 years 21 days ago
Using the Breakout Algorithm to Identify Hard and Unsolvable Subproblems
Abstract. Local search algorithms have been very successful for solving constraint satisfaction problems (CSP). However, a major weakness has been that local search is unable to de...
Carlos Eisenberg, Boi Faltings
CHES
2005
Springer
82views Cryptology» more  CHES 2005»
14 years 1 months ago
Masking at Gate Level in the Presence of Glitches
Abstract. It has recently been shown that logic circuits in the implementation of cryptographic algorithms, although protected by “secure” random masking schemes, leak side-cha...
Wieland Fischer, Berndt M. Gammel
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
13 years 7 months ago
Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi