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» Boosting Distributed Constraint Satisfaction
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IJCAI
2001
13 years 9 months ago
Balance and Filtering in Structured Satisfiable Problems
New methods to generate hard random problem instances have driven progress on algorithms for deduction and constraint satisfaction. Recently Achlioptas et al. (AAAI 2000) introduc...
Henry A. Kautz, Yongshao Ruan, Dimitris Achlioptas...
IWCM
2004
Springer
14 years 1 months ago
Tracking Complex Objects Using Graphical Object Models
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...
CP
2007
Springer
14 years 2 months ago
Min-Domain Ordering for Asynchronous Backtracking
Ordering heuristics are a powerful tool in CSP search algorithms. Among the most successful ordering heuristics are heuristics which enforce a fail first strategy by using the mi...
Roie Zivan, Moshe Zazone, Amnon Meisels
AAAI
2000
13 years 9 months ago
Generating Satisfiable Problem Instances
A major difficulty in evaluating incomplete local search style algorithms for constraint satisfaction problems is the need for a source of hard problem instances that are guarante...
Dimitris Achlioptas, Carla P. Gomes, Henry A. Kaut...
JAIR
2008
110views more  JAIR 2008»
13 years 8 months ago
Completeness and Performance Of The APO Algorithm
Asynchronous Partial Overlay (APO) is a search algorithm that uses cooperative mediation to solve Distributed Constraint Satisfaction Problems (DisCSPs). The algorithm partitions ...
Tal Grinshpoun, Amnon Meisels