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CVPR
2007
IEEE
14 years 8 months ago
Feature Extraction by Maximizing the Average Neighborhood Margin
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Fei Wang, Changshui Zhang
FGR
2000
IEEE
211views Biometrics» more  FGR 2000»
13 years 10 months ago
Recognizing Lower Face Action Units for Facial Expression Analysis
Most automatic expression analysis systems attempt to recognize a small set of prototypic expressions (e.g. happiness and anger). Such prototypic expressions, however, occur infre...
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn
CVPR
2005
IEEE
14 years 8 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang
FGR
2008
IEEE
180views Biometrics» more  FGR 2008»
14 years 15 days ago
Image-set matching using a geodesic distance and cohort normalization
An image-set based face recognition algorithm is proposed that exploits the full geometrical interpretation of Canonical Correlation Analysis (CCA). CCA maximizes the correlation ...
Yui Man Lui, J. Ross Beveridge, Bruce A. Draper, M...
FGR
2008
IEEE
168views Biometrics» more  FGR 2008»
14 years 15 days ago
A bottom-up framework for robust facial feature detection
Registration of facial features is a significant step towards a complete solution of the face recognition problem. We have built a general framework for detecting a set of indivi...
Victor Erukhimov, Kuang-chih Lee