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ICIP
2009
IEEE
13 years 7 months ago
Learning weighted similarity measurements for unconstrained face recognition
Unconstrained face recognition is the problem of deciding if an image pair is showing the same individual or not, without having class specific training material or knowing anythi...
Andre Störmer, Gerhard Rigoll
AVBPA
2001
Springer
145views Biometrics» more  AVBPA 2001»
14 years 1 months ago
Using Mixture Covariance Matrices to Improve Face and Facial Expression Recognitions
In several pattern recognition problems, particularly in image recognition ones, there are often a large number of features available, but the number of training samples for each p...
Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiro...
PAMI
2007
92views more  PAMI 2007»
13 years 8 months ago
Modeling and Predicting Face Recognition System Performance Based on Analysis of Similarity Scores
—This paper presents methods of modeling and predicting face recognition (FR) system performance based on analysis of similarity scores. We define the performance of an FR system...
Peng Wang, Qiang Ji, James L. Wayman
ICPR
2008
IEEE
14 years 3 months ago
Multilinear analysis based on image texture for face recognition
In this paper, a multilinear approach based on image texture for face recognition is present. First, we extract the texture features of the facial images using the Local Binary Pa...
Hu-chuan Lu, Hao Chen, Yen-wei Chen
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
14 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 ...