11 search results - page 1 / 3 » Multi-class Boosting with Class Hierarchies |
ML
2007
ACM
13 years 10 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
2005
IEEE
14 years 4 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
2009
IEEE
15 years 6 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
2007
IEEE
15 years 1 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 ...
MCS
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. We propose AdaBoost.BHC, a novel multi-class boosting algorithm. AdaBoost.BHC solves a C class problem by using C − 1 binary classifiers defined by a hierarchy that i...