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CP
1995
Springer
14 years 15 days ago
Optimization-based Heuristics for Maximal Constraint Satisfaction
We present a new heuristic approach for maximal constraint satisfaction of overconstrained problems (MAX-CSP). This approach is based on a formulation of CSP as an optimization pro...
Javier Larrosa, Pedro Meseguer
AAAI
2008
13 years 11 months ago
Clause Learning Can Effectively P-Simulate General Propositional Resolution
Currently, the most effective complete SAT solvers are based on the DPLL algorithm augmented by clause learning. These solvers can handle many real-world problems from application...
Philipp Hertel, Fahiem Bacchus, Toniann Pitassi, A...
AAAI
2006
13 years 10 months ago
SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition
Composing existing Web services to deliver new functionality is a difficult problem as it involves resolving semantic, syntactic and structural differences among the interfaces of...
Rama Akkiraju, Biplav Srivastava, Anca-Andreea Iva...
ICCV
2009
IEEE
13 years 6 months ago
A robust boosting tracker with minimum error bound in a co-training framework
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
Rong Liu, Jian Cheng, Hanqing Lu
SISAP
2009
IEEE
155views Data Mining» more  SISAP 2009»
14 years 3 months ago
Analyzing Metric Space Indexes: What For?
—It has been a long way since the beginnings of metric space searching, where people coming from algorithmics tried to apply their background to this new paradigm, obtaining vari...
Gonzalo Navarro