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206
Voted
ECCV
2008
Springer
16 years 9 months ago
2008
Springer
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
209
Voted
ICRA
2009
IEEE
16 years 2 months ago
2009
IEEE
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
242
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CVPR
2005
IEEE
16 years 9 months ago
2005
IEEE
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
195
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CVPR
2008
IEEE
15 years 7 months ago
2008
IEEE
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative sparse overcomplete encoding and optimal classifier p...
207
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IJAIT
2002
15 years 7 months ago
2002
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...