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IJPRAI
2006
100views more  IJPRAI 2006»
13 years 7 months ago
Nearest Neighbor Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
Xipeng Qiu, Lide Wu
COST
2009
Springer
172views Multimedia» more  COST 2009»
13 years 5 months ago
Facial Expression Recognition Using Two-Class Discriminant Features
This paper presents a novel facial expression recognition methodology. In order to classify the expression of a test face to one of seven pre-determined facial expression classes, ...
Marios Kyperountas, Ioannis Pitas
FGR
2004
IEEE
132views Biometrics» more  FGR 2004»
13 years 11 months ago
Expand Training Set for Face Detection by GA Re-sampling
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...
Jie Chen, Xilin Chen, Wen Gao
TIFS
2010
173views more  TIFS 2010»
13 years 5 months ago
A hybrid approach for generating secure and discriminating face template
Abstract—Biometric template protection is one of the most important issues in deploying a practical biometric system. To tackle this problem, many algorithms, that do not store t...
Yi C. Feng, Pong C. Yuen, Anil K. Jain
ICPR
2006
IEEE
14 years 1 months ago
Fast Linear Discriminant Analysis Using Binary Bases
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
Feng Tang, Hai Tao