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» Improved analysis methods for crossover-based algorithms
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IVC
2006
154views more  IVC 2006»
15 years 3 months ago
Manifold based analysis of facial expression
We propose a novel approach for modeling, tracking and recognizing facial expressions. Our method works on a low dimensional expression manifold, which is obtained by Isomap embed...
Ya Chang, Changbo Hu, Rogerio Feris, Matthew Turk
CVPR
2004
IEEE
16 years 5 months ago
Bayesian Face Recognition Using Support Vector Machine and Face Clustering
In this paper, we first develop a direct Bayesian based Support Vector Machine by combining the Bayesian analysis with the SVM. Unlike traditional SVM-based face recognition metho...
Zhifeng Li, Xiaoou Tang
CVPR
2003
IEEE
16 years 5 months ago
Independent Component Analysis in a Facial Local Residue Space
In this paper, we propose an ICA(Indepdendent Component Analysis) based face recognition algorithm, which is robust to illumination and pose variation. Generally, it is well known...
Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheo...
166
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TKDE
2011
479views more  TKDE 2011»
14 years 10 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
157
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FASE
2011
Springer
14 years 7 months ago
Theoretical Aspects of Compositional Symbolic Execution
Given a program and an assertion in that program, determining if the assertion can fail is one of the key applications of program analysis. Symbolic execution is a well-known techn...
Dries Vanoverberghe, Frank Piessens