486 search results - page 51 / 98 » Learning bilinear models for two-factor problems in vision |
NIPS
2008
13 years 10 months ago
2008
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
ICCV
2011
IEEE
12 years 9 months ago
2011
IEEE
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
CVPR
2006
IEEE
14 years 11 months ago
2006
IEEE
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...
ECCV
2010
Springer
14 years 29 days ago
2010
Springer
Abstract. Visual dictionary learning and base (binary) classifier training are two basic problems for the recently most popular image categorization framework, which is based on t...