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» Face Recognition Based on Discriminative Manifold Learning
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ICPR
2008
IEEE
15 years 4 months ago
Semi-supervised marginal discriminant analysis based on QR decomposition
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Rui Xiao, Pengfei Shi
79
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CVPR
2005
IEEE
15 years 11 months ago
A Nonlinear Approach for Face Sketch Synthesis and Recognition
Most face recognition systems focus on photo-based face recognition. In this paper, we present a face recognition system based on face sketches. The proposed system contains two e...
Qingshan Liu, Xiaoou Tang, Hongliang Jin, Hanqing ...
ICB
2009
Springer
251views Biometrics» more  ICB 2009»
15 years 4 months ago
Heterogeneous Face Recognition from Local Structures of Normalized Appearance
Abstract. Heterogeneous face images come from different lighting conditions or different imaging devices, such as visible light (VIS) and near infrared (NIR) based. Because heter...
ShengCai Liao, Dong Yi, Zhen Lei, Rui Qin, Stan Z....
ICIP
2004
IEEE
15 years 11 months ago
Regularization studies on LDA for face recognition
It is well-known that the applicability of Linear Discriminant Analysis (LDA) to high-dimensional pattern classification tasks such as face recognition (FR) often suffers from the...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...
NIPS
2001
14 years 11 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...