468 search results - page 8 / 94 » A Hierarchical Latent Variable Model for Data Visualization |
158
Voted
NECO
1998
15 years 1 months ago
1998
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
WSDM
2012
ACM
13 years 9 months ago
2012
ACM
120
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DAGM
2010
Springer
15 years 2 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
147
Voted
AAAI
2012
13 years 4 months ago
2012
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
116
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
The Independent Component Analysis (ICA) model is extended to the case where the components are not necessarily independent: depending on the value a hidden latent process at the ...