3 search results - page 1 / 1 » Training sequential on-line boosting classifier for visual t... |
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
On-line boosting allows to adapt a trained classifier to changing environmental conditions or to use sequentially available training data. Yet, two important problems in the on-li...
CVPR
2006
IEEE
14 years 6 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...
ECCV
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...