319 search results - page 10 / 64 » Two-view feature generation model for semi-supervised learni... |
103
Voted
ACL
2012
13 years 2 months ago
2012
We address the problem of learning the mapping between words and their possible pronunciations in terms of sub-word units. Most previous approaches have involved generative modeli...
CVPR
2007
IEEE
15 years 6 months ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
104
Voted
CVPR
2005
IEEE
15 years 5 months ago
2005
IEEE
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...
125
Voted
CVPR
2011
IEEE
14 years 8 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
114
Voted
TSP
2010
14 years 6 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...