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130
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ECAI
2004
Springer
15 years 9 months ago
Robust Solutions for Constraint Satisfaction and Optimization
Super solutions are a mechanism to provide robustness to constraint programs [10]. They are solutions in which, if a small number of variables lose their values, we are guaranteed ...
Emmanuel Hebrard, Brahim Hnich, Toby Walsh
117
Voted
CC
2005
Springer
115views System Software» more  CC 2005»
15 years 9 months ago
Experiences with Enumeration of Integer Projections of Parametric Polytopes
Abstract. Many compiler optimization techniques depend on the ability to calculate the number of integer values that satisfy a given set of linear constraints. This count (the enum...
Sven Verdoolaege, Kristof Beyls, Maurice Bruynoogh...
130
Voted
ICCV
2003
IEEE
16 years 5 months ago
Landmark-based Shape Deformation with Topology-Preserving Constraints
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...
Song Wang, Jim Xiuquan Ji, Zhi-Pei Liang
136
Voted
IJCAI
1989
15 years 5 months ago
Constrained Heuristic Search
Cognitive architectures aspire for generality both in terms of problem solving and learning across a range of problems, yet to date few examples of domain independent learning has...
Mark S. Fox, Norman M. Sadeh, Can A. Baykan
DAC
2005
ACM
16 years 4 months ago
An efficient algorithm for statistical minimization of total power under timing yield constraints
Power minimization under variability is formulated as a rigorous statistical robust optimization program with a guarantee of power and timing yields. Both power and timing metrics...
Murari Mani, Anirudh Devgan, Michael Orshansky