27 search results - page 1 / 6 » Multi-Class Learning by Smoothed Boosting |
ML
2007
ACM
13 years 3 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 ...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
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...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
ALT
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...