1484 search results - page 140 / 297 » Semi-supervised Learning from General Unlabeled Data |
IPSN
2003
Springer
14 years 1 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...
CVPR
2007
IEEE
14 years 2 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, ...
ICML
2007
IEEE
14 years 8 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...
ICML
2004
IEEE
14 years 8 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...
NIPS
2004
13 years 9 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...