219 search results - page 28 / 44 » Learning the Dimensionality of Hidden Variables |
ICML
2008
IEEE
16 years 15 days ago
2008
IEEE
Canonical Correlation Analysis (CCA) is a well-known technique for finding the correlations between two sets of multi-dimensional variables. It projects both sets of variables int...
119
click to vote
ICML
2009
IEEE
15 years 6 months ago
2009
IEEE
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...
ECCV
2010
Springer
14 years 12 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
NIPS
1998
15 years 1 months ago
1998
The W-S (Wake-Sleep) algorithm is a simple learning rule for the models with hidden variables. It is shown that this algorithm can be applied to a factor analysis model which is a...
112
click to vote
CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
We describe a generative model of the relationship between two images. The model is deļ¬ned as a factored threeway Boltzmann machine, in which hidden variables collaborate to deļ...