164 search results - page 14 / 33 » Flexible latent variable models for multi-task learning |
129
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
113
Voted
ICTAI
2009
IEEE
15 years 10 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
134
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...
143
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
135
Voted
CRV
2008
IEEE
15 years 10 months ago
2008
IEEE
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...