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Kullback-Leibler Boosting

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by Ce Liu , Hueng-Yueng Shum
Citations:36 - 1 self
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BibTeX

@MISC{Liu_kullback-leiblerboosting,
    author = {Ce Liu and Hueng-Yueng Shum},
    title = { Kullback-Leibler Boosting},
    year = {}
}

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Abstract

In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting

Citations

3909 Neural Networks for Pattern Recognition - Bishop - 1995
1371 BRapid object detection using a boosted cascade of simple features - Viola, Jones
896 Additive logistic regression: a statistical view of boosting - Friedman, Hastie, et al. - 2000
764 Neural network-based face detection - Rowley, Baluja, et al. - 1996
606 W: Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods. The Annals of Statistics - Schapire, Freund, et al. - 1998
561 Y: Improved boosting algorithms using confidence-rated predictions - RE, Singer - 1999
505 Example-based learning for view-based human face detection - Sung, Poggio - 1998
476 Probabilistic visual learning for object representation. Early Visual Learning - Moghaddam, Pentland - 1996
454 Training support vector machines: an application to face detection - Osuna, Freund, et al. - 1997
437 Detecting faces in images: a survey - Yang, Kriegman, et al.
300 A statistical method for 3d object detection applied to faces and cars - Schneiderman, Kanade - 2000
216 T.: A general framework for object detection - PAPAGEORGIOU, OREN, et al. - 1998
165 Minimax entropy principle and its applications to texture modeling - Zhu, Wu, et al. - 1997
150 Rotation Invariant Neural Network-Based Face Detection - Rowley, Baluja, et al. - 1998
137 Probabilistic modeling of local appearance and spatial relationships for object recognition - Schneiderman, Kanade - 1998
98 A SNoW-Based Face Detector - Yang, Roth, et al. - 2000
94 The Nature of Statistical Learning - Vapnik - 1996
15 Learning Inhomogeneous Gibbs Model for Faces by Minimax Entropy - Liu, Zhu, et al. - 2001
14 Mixtures of Linear Subspaces for Face Detection - Yang, Ahuja, et al. - 2000
10 Invited Discussion on ‘Additive Logistic Regression: A Statistical View of Boosting (friedman, hastie and tibshirani - Buhlmann, Yu - 2000
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