1864 search results - page 34 / 373 » Modeling Classification and Inference Learning |
115
click to vote
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
82
Voted
AAAI
2008
15 years 2 months ago
2008
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
107
Voted
CIKM
2009
Springer
15 years 7 months ago
2009
Springer
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
85
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
111
Voted
CVPR
2008
IEEE
15 years 7 months ago
2008
IEEE
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...