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» Approximated Consistency for Knapsack Constraints
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AAAI
1992
13 years 8 months ago
On the Minimality and Decomposability of Constraint Networks
Constraint networks have been shown to be useful in formulating such diverse problems as scene labeling, natural language parsing, and temporal reasoning. Given a constraint netwo...
Peter van Beek
SIROCCO
2008
13 years 9 months ago
Distributed Approximation Algorithm for Resource Clustering
In this paper, we consider the clustering of resources on large scale platforms. More precisely, we target parallel applications consisting of independant tasks, where each task is...
Olivier Beaumont, Nicolas Bonichon, Philippe Ducho...
PAMI
2006
122views more  PAMI 2006»
13 years 7 months ago
Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets
This study investigates a level set method for complex polarimetric image segmentation. It consists of minimizing a functional containing an original observation term derived from ...
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj
TACAS
2010
Springer
251views Algorithms» more  TACAS 2010»
14 years 17 days ago
Approximating the Pareto Front of Multi-criteria Optimization Problems
We propose a general methodology for approximating the Pareto front of multi-criteria optimization problems. Our search-based methodology consists of submitting queries to a constr...
Julien Legriel, Colas Le Guernic, Scott Cotton, Od...
PPSN
2004
Springer
14 years 24 days ago
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
Thomas Philip Runarsson