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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
CVPR
2007
IEEE
14 years 7 months ago
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshu...
ICANN
2005
Springer
13 years 11 months ago
Discriminative Common Images for Face Recognition
Linear discrimination analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Ba...
Vo Dinh Minh Nhat, Sungyoung Lee
CIVR
2007
Springer
169views Image Analysis» more  CIVR 2007»
13 years 11 months ago
Whitened LDA for face recognition
Over the years, many Linear Discriminant Analysis (LDA) algorithms have been proposed for the study of high dimensional data in a large variety of problems. An intrinsic limitatio...
Vo Dinh Minh Nhat, Sungyoung Lee, Hee Yong Youn
PR
2008
161views more  PR 2008»
13 years 5 months ago
A study on three linear discriminant analysis based methods in small sample size problem
In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...
Jun Liu, Songcan Chen, Xiaoyang Tan