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TSMC
2008
182views more  TSMC 2008»
13 years 5 months ago
Incremental Linear Discriminant Analysis for Face Recognition
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
Haitao Zhao, Pong Chi Yuen
ISCAS
2006
IEEE
154views Hardware» more  ISCAS 2006»
14 years 5 days ago
A novel Fisher discriminant for biometrics recognition: 2DPCA plus 2DFLD
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...
R. M. Mutelo, Li Chin Khor, Wai Lok Woo, Satnam Si...
CIVR
2007
Springer
169views Image Analysis» more  CIVR 2007»
14 years 10 days 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
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
VISUAL
2005
Springer
13 years 11 months ago
Face Recognition Using Modular Bilinear Discriminant Analysis
We present a Modular Bilinear Disciminant Analysis (MBDA) approach for face recognition. A set of classifiers are trained independently on specific face regions, and different c...
Muriel Visani, Christophe Garcia, Jean-Michel Joli...