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» Boosting recombined weak classifiers
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ICPR
2004
IEEE
14 years 12 months ago
Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
Daniel Gatica-Perez, Dong Zhang, Stan Z. Li
IWBRS
2005
Springer
168views Biometrics» more  IWBRS 2005»
14 years 4 months ago
Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wa...
CVPR
2008
IEEE
15 years 26 days ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu
ROBOCUP
2007
Springer
91views Robotics» more  ROBOCUP 2007»
14 years 5 months ago
Detection of AIBO and Humanoid Robots Using Cascades of Boosted Classifiers
Abstract. In the present article a framework for the robust detection of mobile robots using nested cascades of boosted classifiers is proposed. The boosted classifiers are trained...
Matías Arenas, Javier Ruiz-del-Solar, Rodri...
ML
2002
ACM
141views Machine Learning» more  ML 2002»
13 years 10 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir