486 search results - page 12 / 98 » Learning bilinear models for two-factor problems in vision |
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
SIGIR
2006
ACM
15 years 3 months ago
2006
ACM
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Image auto-annotation is an important open problem in
computer vision. For this task we propose TagProp, a discriminatively
trained nearest neighbor model. Tags of test
images a...
61
Voted
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Face alignment seeks to deform a face model to match it with the features of the image of a face by optimizing an appropriate cost function. We propose a new face model that is al...
65
Voted
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Supervised learning of a parts-based model can be for-
mulated as an optimization problem with a large (exponen-
tial in the number of parts) set of constraints. We show how
thi...