19 search results - page 3 / 4 » Gradient Feature Selection for Online Boosting |
CVPR
2006
IEEE
14 years 8 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...
NIPS
2003
13 years 7 months ago
2003
Face detection is a canonical example of a rare event detection problem, in which target patterns occur with much lower frequency than nontargets. Out of millions of face-sized wi...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
We treat tracking as a matching problem of detected keypoints between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to i...
ESANN
2006
13 years 7 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
ICPR
2008
IEEE
14 years 23 days ago
2008
IEEE
In this paper, a novel statistical indoor activity recognition algorithm is introduced. While conditional random fields (CRFs) have prominent properties to this task, no optimal ...