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» Adaptive Base Class Boost for Multi-class Classification
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CVPR
2007
IEEE
14 years 7 months ago
Kernel Sharing With Joint Boosting For Multi-Class Concept Detection
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui
CVPR
2009
IEEE
15 years 17 days ago
Regularized Multi-Class Semi-Supervised Boosting
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...
Amir Saffari, Christian Leistner, Horst Bischof
CVPR
2005
IEEE
13 years 11 months ago
Robust Face Detection with Multi-Class Boosting
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...
Yen-Yu Lin, Tyng-Luh Liu
CORR
2008
Springer
127views Education» more  CORR 2008»
13 years 5 months ago
Adaptive Base Class Boost for Multi-class Classification
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...
Ping Li
ICML
2009
IEEE
14 years 6 months ago
ABC-boost: adaptive base class boost for multi-class classification
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...
Ping Li