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» Face Recognition Using Ada-Boosted Gabor Features
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ICCV
2007
IEEE
15 years 6 months ago
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper...
Yu Su, Shiguang Shan, Xilin Chen, Wen Gao
CAIP
2009
Springer
185views Image Analysis» more  CAIP 2009»
14 years 9 months ago
A New Gabor Phase Difference Pattern for Face and Ear Recognition
A new local feature based image representation method is proposed. It is derived from the local Gabor phase difference pattern (LGPDP). This method represents images by exploiting ...
Yimo Guo, Guoying Zhao, Jie Chen, Matti Pietik&aum...
83
Voted
NIPS
2003
15 years 1 months ago
Mutual Boosting for Contextual Inference
Mutual Boosting is a method aimed at incorporating contextual information to augment object detection. When multiple detectors of objects and parts are trained in parallel using A...
Michael Fink 0002, Pietro Perona
74
Voted
CVPR
2003
IEEE
16 years 1 months ago
Kullback-Leibler Boosting
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
Ce Liu, Heung-Yeung Shum
ICPR
2008
IEEE
16 years 28 days ago
A method of feature selection using contribution ratio based on boosting
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Masamitsu Tsuchiya, Hironobu Fujiyoshi