219 search results - page 35 / 44 » Learning the Dimensionality of Hidden Variables |
COLT
2008
Springer
14 years 11 months ago
2008
Springer
In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
CVIU
2008
14 years 9 months ago
2008
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
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FCSC
2010
14 years 6 months ago
2010
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
ACL
2008
14 years 11 months ago
2008
Parse-tree paths are commonly used to incorporate information from syntactic parses into NLP systems. These systems typically treat the paths as atomic (or nearly atomic) features...