12 search results - page 1 / 3 » Probabilistic Boosting-Tree: Learning Discriminative Models ... |
ICCV
2005
IEEE
15 years 1 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
PRL
2011
13 years 6 months ago
2011
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
ICDAR
2009
IEEE
14 years 5 months ago
2009
IEEE
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
ICCV
2007
IEEE
15 years 1 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...