297 search results - page 11 / 60 » Topologically-constrained latent variable models |
107
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DAGM
2010
Springer
15 years 1 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...
JMLR
2010
14 years 7 months ago
2010
We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...
ICCS
2007
Springer
15 years 4 months ago
2007
Springer
We present a case study to demonstrate the possibility of discovering complex and interesting latent structures using hierarchical latent class (HLC) models. A similar effort was m...
126
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ICASSP
2009
IEEE
14 years 10 months ago
2009
IEEE
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
105
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...