1547 search results - page 3 / 310 » Learning a Classification Model for Segmentation |
MICCAI
2009
Springer
14 years 6 months ago
2009
Springer
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
ICCV
2005
IEEE
14 years 7 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...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...