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» A Novel Kernel Discriminant Analysis for Face Verification
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CVPR
2008
IEEE
13 years 9 months ago
Classification via semi-Riemannian spaces
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
TIP
2008
128views more  TIP 2008»
13 years 7 months ago
Wavelet Frame Accelerated Reduced Support Vector Machines
In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...
Matthias Rätsch, Gerd Teschke, Sami Romdhani,...
PR
2008
115views more  PR 2008»
13 years 7 months ago
Fractional order singular value decomposition representation for face recognition
Face Representation (FR) plays a typically important role in face recognition and methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) have be...
Jun Liu, Songcan Chen, Xiaoyang Tan
TSMC
2008
104views more  TSMC 2008»
13 years 7 months ago
Head Yaw Estimation From Asymmetry of Facial Appearance
This paper proposes a novel method to estimate the head yaw rotations based on the asymmetry of 2-D facial appearance. In traditional appearance-based pose estimation methods, feat...
Bingpeng Ma, Shiguang Shan, Xilin Chen, Wen Gao
PAMI
2012
11 years 9 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre