7 search results - page 1 / 2 » Improving local learning for object categorization by explor... |
CVPR
2008
IEEE
13 years 6 months ago
2008
IEEE
Local learning for classification is useful in dealing with various vision problems. One key factor for such approaches to be effective is to find good neighbors for the learning ...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
IJCV
2008
13 years 4 months ago
2008
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper addresses online learning of reference object distribution in the context of two hybrid tracking schemes that combine the mean shift with local point feature correspond...
TIP
2011
12 years 11 months ago
2011
—Recently, many object localization models have shown that incorporating contextual cues can greatly improve accuracy over using appearance features alone. Therefore, many of the...