1012 search results - page 152 / 203 » A Learning Classifier Approach to Tomography |
121
Voted
CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
109
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
120
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...
92
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
This paper presents a novel local image descriptor that is robust to general image deformations. A limitation with traditional image descriptors is that they use a single support ...
91
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...