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» Face Recognition Based on Discriminative Manifold Learning
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ACCV
2009
Springer
15 years 1 months ago
Head Pose Estimation Based on Manifold Embedding and Distance Metric Learning
In this paper, we propose an embedding method to seek an optimal low-dimensional manifold describing the intrinsical pose variations and to provide an identity-independent head pos...
Xiangyang Liu, Hongtao Lu, Daqiang Zhang
ICB
2007
Springer
142views Biometrics» more  ICB 2007»
15 years 1 months ago
Face Recognition by Discriminant Analysis with Gabor Tensor Representation
Abstract. This paper proposes a novel face recognition method based on discriminant analysis with Gabor tensor representation. Although the Gabor face representation has achieved g...
Zhen Lei, Rufeng Chu, Ran He, ShengCai Liao, Stan ...
PR
2006
209views more  PR 2006»
14 years 9 months ago
Low resolution face recognition based on support vector data description
In the face recognition process, it is important to deal with a facial image of low-resolution. For low-resolution face recognition, we propose a new method of extending the SVDD,...
Sang-Woong Lee, Jooyoung Park, Seong-Whan Lee
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
15 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 ...
TSMC
2008
182views more  TSMC 2008»
14 years 9 months ago
Incremental Linear Discriminant Analysis for Face Recognition
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
Haitao Zhao, Pong Chi Yuen