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» Boosting linear discriminant analysis for face recognition
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WACV
2002
IEEE
14 years 17 days ago
An Experimental Evaluation of Linear and Kernel-Based Methods for Face Recognition
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...
CVPR
2009
IEEE
13 years 11 months ago
Efficiently training a better visual detector with sparse eigenvectors
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...
CVPR
2005
IEEE
14 years 9 months ago
A Nonlinear Approach for Face Sketch Synthesis and Recognition
Most face recognition systems focus on photo-based face recognition. In this paper, we present a face recognition system based on face sketches. The proposed system contains two e...
Qingshan Liu, Xiaoou Tang, Hongliang Jin, Hanqing ...
AMFG
2005
IEEE
327views Biometrics» more  AMFG 2005»
14 years 1 months ago
AdaBoost Gabor Fisher Classifier for Face Recognition
This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed an...
Shiguang Shan, Peng Yang, Xilin Chen, Wen Gao
PRL
2006
180views more  PRL 2006»
13 years 7 months ago
MutualBoost learning for selecting Gabor features for face recognition
This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face recognition system. Th...
LinLin Shen, Li Bai