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» Multiple-Exemplar Discriminant Analysis for Face Recognition
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ICIP
2005
IEEE
15 years 11 months ago
Extracting micro-structural gabor features for face recognition
Robustness and discriminability are two key issues in face recognition. In this paper, we propose a new algorithm which extracts micro-structural Gabor feature to achieve good robu...
Dian Gong, Qiong Yang, Xiaoou Tang, Jianhua Lu
SCIA
2007
Springer
122views Image Analysis» more  SCIA 2007»
15 years 3 months ago
Individual Discriminative Face Recognition Models Based on Subsets of Features
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
Line Harder Clemmensen, David Delgado Gomez, Bjarn...
ICIP
2002
IEEE
15 years 11 months ago
A kernel machine based approach for multi-view face recognition
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition applications. It is well kno...
Juwei Lu, Kostas N. Plataniotis, Anastasios N. Ven...
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
ICASSP
2011
IEEE
14 years 1 months ago
BEMD for expression transformation in face recognition
This work presents a novel methodology for the transformation of facial expressions, to assist face biometrics. It is known that identification using only one image per subject p...
Hoda Mohammadzade, Foteini Agrafioti, Jiexin Gao, ...