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JCP
2008
167views more  JCP 2008»
13 years 5 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
CAIP
2003
Springer
138views Image Analysis» more  CAIP 2003»
13 years 10 months ago
A Face Processing System Based on Committee Machine: The Approach and Experimental Results
Abstract. In this paper, we propose a heterogeneous committee machine for face processing including face detection and recognition. Our proposed system consists of two components, ...
Kim-Fung Jang, Ho-Man Tang, Michael R. Lyu, Irwin ...
PCM
2004
Springer
166views Multimedia» more  PCM 2004»
13 years 11 months ago
Gabor-Kernel Fisher Analysis for Face Recognition
Kernel based methods have been of wide concern in the field of machine learning. This paper proposes a novel Gabor-Kernel Fisher analysis method (G-EKFM) for face recognition, whi...
Baochang Zhang
AVBPA
2005
Springer
226views Biometrics» more  AVBPA 2005»
13 years 11 months ago
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
Baochang Zhang, Xilin Chen, Wen Gao
ICCV
2007
IEEE
13 years 12 months ago
Support Kernel Machines for Object Recognition
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
Ankita Kumar, Cristian Sminchisescu