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» A Novel Kernel Discriminant Analysis for Face Verification
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CVPR
2004
IEEE
14 years 9 months ago
A Discriminative Feature Space for Detecting and Recognizing Faces
In this paper, we introduce a novel discriminative feature space which is efficient not only for face detection but also for recognition. The face representation is based on local...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
ICIP
2005
IEEE
14 years 9 months ago
Exploiting discriminant information in elastic graph matching
In this paper, we investigate the use of discriminant techniques in the elastic graph matching (EGM) algorithm. First we use discriminant analysis in the feature vectors of the no...
Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pita...
IEEECIT
2010
IEEE
13 years 4 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...
PR
2007
139views more  PR 2007»
13 years 6 months ago
Learning the kernel matrix by maximizing a KFD-based class separability criterion
The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...
Dit-Yan Yeung, Hong Chang, Guang Dai
ICCV
2007
IEEE
13 years 11 months ago
Probabilistic Linear Discriminant Analysis for Inferences About Identity
Many current face recognition algorithms perform badly when the lighting or pose of the probe and gallery images differ. In this paper we present a novel algorithm designed for th...
Simon J. D. Prince, James H. Elder