779 search results - page 82 / 156 » Information-theoretic Competitive Learning |
113
Voted
NIPS
2004
15 years 4 months ago
2004
Statistical approaches to language learning typically focus on either short-range syntactic dependencies or long-range semantic dependencies between words. We present a generative...
140
Voted
MVA
1996
15 years 4 months ago
1996
An adaptive object recognition scheme for image sequences of many object scenes is described. The scheme is applied for t r d c object recognition under ego-motion. The recursive ...
111
Voted
NIPS
1996
15 years 4 months ago
1996
: Neural networks are competitive tools for classification problems. In this context, a hint is any piece of prior side information about the classification. Common examples are mo...
127
Voted
JAIR
2010
15 years 1 months ago
2010
Binary Decision Diagram (BDD) based set bounds propagation is a powerful approach to solving set-constraint satisfaction problems. However, prior BDD based techniques incur the si...
130
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
Image patches are fundamental elements for object modeling and recognition. However, there has not been a panoramic study of the structures of the whole ensemble of natural image ...