712 search results - page 43 / 143 » Pruning Training Sets for Learning of Object Categories |
IJCV
2008
13 years 9 months ago
2008
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
ECCV
2004
Springer
14 years 11 months ago
2004
Springer
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
SCIA
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. This paper deals, for the first time, with an analysis of localization capabilities of weakly supervised categorization systems. Most existing categorization approaches ...