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AAAI
2007
15 years 7 months ago
Refutation by Randomised General Resolution
Local search is widely applied to satisfiable SAT problems, and on some problem classes outperforms backtrack search. An intriguing challenge posed by Selman, Kautz and McAlleste...
Steven David Prestwich, Inês Lynce
114
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TRECVID
2008
15 years 6 months ago
Brno University of Technology at TRECVid 2008
In this paper we describe our experiments in all task of TRECVid 2008. This year, we have concentrated mainly on the local (affine covariant) image features and its transformation...
Petr Chmelar, Vítezslav Beran, Adam Herout,...
128
Voted
WSCG
2004
139views more  WSCG 2004»
15 years 6 months ago
Objects Matching Improvement Using Optimization Techniques in a Geometric Modal Methodology
This work was based on a previously developed methodology using shape modal description for matching image objects. With this methodology, the objects points were matched using a ...
Luísa Ferreira Bastos, João Manuel R...
132
Voted
AAAI
1998
15 years 6 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
121
Voted
AAAI
2000
15 years 6 months ago
Structure, Duality, and Randomization: Common Themes in AI and OR
Both the Artificial Intelligence (AI) community and the Operations Research (OR) community are interested in developing techniques for solving hard combinatorial problems. OR has ...
Carla P. Gomes