8 search results - page 1 / 2 » Robust Boosting Algorithm Against Mislabeling in Multiclass ... |
NECO
2008
13 years 4 months ago
2008
ML
2007
ACM
13 years 4 months ago
2007
ACM
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
CVPR
2005
IEEE
13 years 10 months ago
2005
IEEE
With the aim to design a general learning framework for detecting faces of various poses or under different lighting conditions, we are motivated to formulate the task as a classi...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....