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ICB
2009
Springer
140views Biometrics» more  ICB 2009»
13 years 12 months ago
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....
ICMCS
2005
IEEE
229views Multimedia» more  ICMCS 2005»
13 years 11 months ago
A methodology for improving recognition rate of linear discriminant analysis in video-based face recognition using support vecto
This paper proposes a two-step methodology for improving the discriminatory power of Linear Discriminant Analysis (LDA) for video-based human face recognition. Results indicate th...
Sreekar Krishna, Sethuraman Panchanathan
ICTAI
2008
IEEE
13 years 11 months ago
Face Recognition Using a Color Subspace LDA Approach
This paper delves into the problem of face recognition using color as an important cue in improving the accuracy of recognition. To perform recognition of color images, we use the...
Mani Thomas, Chandra Kambhamettu, Senthil Kumar
ICIP
2005
IEEE
14 years 7 months ago
Feedback-based dynamic generalized LDA for face recognition
Linear Discriminant Analysis(LDA) is widely-used in face recognition systems. However, with the traditional formulation, the available information in the training samples is not su...
Dahua Lin, Shuicheng Yan, Xiaoou Tang
IEEECIT
2010
IEEE
13 years 2 months ago
Face Recognition using Layered Linear Discriminant Analysis and Small Subspace
Face recognition has great demands in human recognition and recently it becomes one of the most important research areas of biometrics. In this paper, we present a novel layered fa...
Muhammad Imran Razzak, Muhammad Khurram Khan, Khal...