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VISUAL
2005
Springer
14 years 2 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...
FGR
1998
IEEE
165views Biometrics» more  FGR 1998»
14 years 26 days ago
Face Similarity Space as Perceived by Humans and Artificial Systems
The performance of a local feature based system, using Gabor-filters, and a global template matching based system, using a combination of PCA (Principal Component Analysis) and LD...
Peter Kalocsai, Wenyi Zhao, Egor Elagin
CVPR
2007
IEEE
13 years 10 months ago
Kernel Fukunaga-Koontz Transform Subspaces For Enhanced Face Recognition
Traditional linear Fukunaga-Koontz Transform (FKT) [1] is a powerful discriminative subspaces building approach. Previous work has successfully extended FKT to be able to deal wit...
Yung-hui Li, Marios Savvides
PR
2007
145views more  PR 2007»
13 years 8 months ago
Face recognition using a kernel fractional-step discriminant analysis algorithm
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...
Guang Dai, Dit-Yan Yeung, Yuntao Qian
AUSAI
2005
Springer
14 years 2 months ago
Resampling LDA/QR and PCA+LDA for Face Recognition
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
Jun Liu, Songcan Chen