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» Computing Small Search Numbers in Linear Time
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CVPR
2004
IEEE
16 years 5 months ago
Linear Model Hashing and Batch RANSAC for Rapid and Accurate Object Recognition
This paper proposes a joint feature-based model indexing and geometric constraint based alignment pipeline for efficient and accurate recognition of 3D objects from a large model ...
Ying Shan, Bogdan Matei, Harpreet S. Sawhney, Rake...
134
Voted
IJCAI
2007
15 years 5 months ago
Reinforcement Learning of Local Shape in the Game of Go
We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...
David Silver, Richard S. Sutton, Martin Mülle...
117
Voted
PR
2006
102views more  PR 2006»
15 years 3 months ago
Prototype selection for dissimilarity-based classifiers
A conventional way to discriminate between objects represented by dissimilarities is the nearest neighbor method. A more efficient and sometimes a more accurate solution is offere...
Elzbieta Pekalska, Robert P. W. Duin, Pavel Pacl&i...
123
Voted
TCS
2010
14 years 10 months ago
Maximizing the minimum load for selfish agents
We consider the problem of maximizing the minimum load for machines that are controlled by selfish agents, who are only interested in maximizing their own profit. Unlike the class...
Leah Epstein, Rob van Stee
134
Voted
WAE
1998
118views Algorithms» more  WAE 1998»
15 years 4 months ago
Guarding Scenes against Invasive Hypercubes
In recent years realistic input models for geometric algorithms have been studied. The most important models introduced are fatness, low density, unclutteredness, and small simple...
Mark de Berg, Haggai David, Matthew J. Katz, Mark ...