613 search results - page 15 / 123 » Learning the Structure of Linear Latent Variable Models |
JMLR
2006
13 years 7 months ago
2006
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
NAACL
2010
13 years 5 months ago
2010
We show that the automatically induced latent variable grammars of Petrov et al. (2006) vary widely in their underlying representations, depending on their EM initialization point...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
JMLR
2010
13 years 2 months ago
2010
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
Discriminative approaches for human pose estimation model the functional mapping, or conditional distribution, between image features and 3D pose. Learning such multi-modal models ...