4255 search results - page 399 / 851 » On Learning Boolean Functions |
190
click to vote
AAAI
2011
14 years 6 months ago
2011
In this paper we propose differential eligibility vectors (DEV) for temporal-difference (TD) learning, a new class of eligibility vectors designed to bring out the contribution of...
198
click to vote
CORR
2012
Springer
14 years 2 months ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
182
click to vote
CVPR
2001
IEEE
16 years 8 months ago
2001
IEEE
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
182
click to vote
ICIP
2002
IEEE
16 years 8 months ago
2002
IEEE
In this study, we suggest a method to adapt an image retrieval system into a configurable one. Basically, original feature space of a content-based retrieval system is nonlinearly...
173
click to vote
ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...