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» Principle component analysis and its variants for biometrics
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TNN
2008
141views more  TNN 2008»
13 years 5 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
FGR
2011
IEEE
245views Biometrics» more  FGR 2011»
12 years 9 months ago
Fast and robust appearance-based tracking
— We introduce a fast and robust subspace-based approach to appearance-based object tracking. The core of our approach is based on Fast Robust Correlation (FRC), a recently propo...
Stephan Liwicki, Stefanos Zafeiriou, Georgios Tzim...
JACM
2011
152views more  JACM 2011»
12 years 8 months ago
Robust principal component analysis?
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
Emmanuel J. Candès, Xiaodong Li, Yi Ma, Joh...
HICSS
2002
IEEE
71views Biometrics» more  HICSS 2002»
13 years 11 months ago
Source Code Generator Based on a Proprietary Specification Language
An application generator has resulted from the authors' efforts to improve the development of interactive database applications. The developed tool is based on a meta-base. T...
Kresimir Fertalj, Damir Kalpic, Vedran Mornar
CVPR
2008
IEEE
14 years 13 days ago
Unified Principal Component Analysis with generalized Covariance Matrix for face recognition
Recently, 2DPCA and its variants have attracted much attention in face recognition area. In this paper, some efforts are made to discover the underlying fundaments of these method...
Shiguang Shan, Bo Cao, Yu Su, Laiyun Qing, Xilin C...