3051 search results - page 164 / 611 » Learning Internal Representations |
130
Voted
AR
2007
15 years 3 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
148
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JACM
2010
15 years 2 months ago
2010
Description logics (DLs) and rules are formalisms that emphasize different aspects of knowledge representation: whereas DLs are focused on specifying and reasoning about conceptual...
147
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CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from an overcomplete basis set. Most existing approaches employ a...
162
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PAMI
2012
13 years 6 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
139
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...