486 search results - page 20 / 98 » Learning bilinear models for two-factor problems in vision |
CVPR
2008
IEEE
15 years 2 days ago
2008
IEEE
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
We address the problem of incorporating user preference in automatic image enhancement. Unlike generic tools for automatically enhancing images, we seek to develop methods that ca...
ACCV
2010
Springer
13 years 5 months ago
2010
Springer
Pedestrian detection is an important application in computer vision. Currently, most pedestrian detection methods focus on learning one or multiple fixed models. These algorithms r...
CVPR
2008
IEEE
15 years 2 days ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
CVPR
2008
IEEE
15 years 2 days ago
2008
IEEE
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...