1484 search results - page 140 / 297 » Semi-supervised Learning from General Unlabeled Data |
128
Voted
IPSN
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
138
click to vote
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
125
Voted
ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...
133
click to vote
ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
We present a generalization of the nonnegative matrix factorization (NMF), where a multilayer generative network with nonnegative weights is used to approximate the observed nonne...
127
click to vote
NIPS
2004
15 years 6 months ago
2004
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and gener...