27 search results - page 4 / 6 » Face recognition based on ordinal correlation |
JCP
2008
14 years 9 months ago
2008
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...
100
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CCECE
2006
IEEE
15 years 3 months ago
2006
IEEE
Biometric systems are designed to identify a person based on physiological or behavioral characteristics. In order to predict the utility of a particular image for identification,...
CAIP
2003
Springer
15 years 2 months ago
2003
Springer
Fisher linear discriminant analysis (FLDA) based on variance ratio is compared with scatter linear discriminant (SLDA) analysis based on determinant ratio. It is shown that each o...
101
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CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
122
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ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Partially occluded faces are common in many applications
of face recognition. While algorithms based on sparse
representation have demonstrated promising results, they
achieve t...