2295 search results - page 155 / 459 » Learning Overcomplete Representations |
98
Voted
LREC
2008
15 years 2 months ago
2008
Generally, ontology learning and population is applied as a semi-automatic approach to knowledge acquisition in natural language understanding systems. That means, after the ontol...
CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
111
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
111
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
106
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ILP
2003
Springer
15 years 6 months ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...