468 search results - page 8 / 94 » A Hierarchical Latent Variable Model for Data Visualization |
NECO
1998
13 years 8 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
12 years 4 months ago
2012
ACM
DAGM
2010
Springer
13 years 9 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...
AAAI
2012
11 years 11 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...
ICASSP
2011
IEEE
13 years 13 days 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 ...