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» A Landmark Paper in Face Recognition
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IJON
2008
121views more  IJON 2008»
13 years 8 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He
TIFS
2010
137views more  TIFS 2010»
13 years 3 months ago
On the dynamic selection of biometric fusion algorithms
Biometric fusion consolidates the output of multiple biometric classifiers to render a decision about the identity of an individual. We consider the problem of designing a fusion s...
Mayank Vatsa, Richa Singh, Afzel Noore, Arun Ross
ICCV
2007
IEEE
14 years 10 months ago
Spectral Regression for Efficient Regularized Subspace Learning
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
Deng Cai, Xiaofei He, Jiawei Han
FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
14 years 3 months ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li
FGR
2006
IEEE
284views Biometrics» more  FGR 2006»
14 years 2 months ago
A 3D Facial Expression Database For Facial Behavior Research
Traditionally, human facial expressions have been studied using either 2D static images or 2D video sequences. The 2D-based analysis is incapable of handing large pose variations....
Lijun Yin, Xiaozhou Wei, Yi Sun, Jun Wang, Matthew...