50 search results - page 3 / 10 » Learning structural SVMs with latent variables |
ICML
2007
IEEE
14 years 6 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...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
AAAI
2011
12 years 5 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
2006
IEEE
14 years 6 months ago
2006
IEEE
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
COLING
2010
13 years 9 days ago
2010
Syntactic reordering on the source-side is an effective way of handling word order differences. The (DE) construction is a flexible and ubiquitous syntactic structure in Chinese w...