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AIPR
2005
IEEE
13 years 10 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman
CVPR
2004
IEEE
14 years 6 months ago
Random Sampling LDA for Face Recognition
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
Xiaogang Wang, Xiaoou Tang
ICASSP
2010
IEEE
13 years 5 months ago
Evaluation of random-projection-based feature combination on speech recognition
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computati...
Tetsuya Takiguchi, Jeff Bilmes, Mariko Yoshii, Yas...
ICPR
2008
IEEE
13 years 11 months ago
IR and visible face recognition using fusion of kernel based features
In this paper we present the face recognition method using feature-level fusion where the infrared (IR) and visible face images are fused at transformed domain. The main contribut...
Shahbe Mat Desa, Subhas Hati
ICB
2009
Springer
142views Biometrics» more  ICB 2009»
13 years 9 months ago
A Random Network Ensemble for Face Recognition
In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training se...
Kwontaeg Choi, Kar-Ann Toh, Hyeran Byun