613 search results - page 4 / 123 » Learning the Structure of Linear Latent Variable Models |
PAMI
2011
13 years 2 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
AAAI
2011
12 years 7 months ago
2011
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Many human action recognition tasks involve data that can be factorized into multiple views such as body postures and hand shapes. These views often interact with each other over ...
ACL
2011
12 years 11 months ago
2011
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...