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» Line-Based PCA and LDA Approaches for Face Recognition
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AUSAI
2005
Springer
14 years 1 months ago
New Feature Extraction Approaches for Face Recognition
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
Vo Dinh Minh Nhat, Sungyoung Lee
ICPR
2006
IEEE
14 years 1 months ago
Face Recognition Using Angular LDA and SVM Ensembles
One successful approach to feature extraction in face recognition problems is that of linear discriminant analysis (LDA). We examine an extension of this technique, called angular...
Raymond S. Smith, Josef Kittler, Miroslav Hamouz, ...
AVBPA
2005
Springer
271views Biometrics» more  AVBPA 2005»
14 years 27 days ago
Dynamic Approach for Face Recognition Using Digital Image Skin Correlation
With the recent emphasis on homeland security, there is an increased interest in accurate and non-invasive techniques for face recognition. Most of the current techniques perform a...
Satprem Pamudurthy, E. Guan, Klaus Mueller, Miriam...
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
13 years 11 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang
FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
14 years 1 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