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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
High-dimensional discriminant analysis and its application to color face images
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Zhizheng Liang, "High-dimensional discriminant analysis and its application to color face images," Pattern Recognition, International Conference on, vol. 2, pp. 917-920, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.625,
author = {Zhizheng Liang},
title = {High-dimensional discriminant analysis and its application to color face images},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {917-920},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.625},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - High-dimensional discriminant analysis and its application to color face images
SN - 1051-4651
SP917
EP920
A1 - Zhizheng Liang,
PY - 2006
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Zhizheng Liang, Biocomputing center,Computing of Department, Shenzhen Graduate School,HIT
Multilinear algebra plays an important role in signal processing. In this paper, a multilinear generalization of linear discriminant analysis is discussed. Similar to HOSVD, an iterative algorithm is developed for solving high-dimensional linear discriminant analysis. Meanwhile, a non-iterative algorithm is also proposed. In addition, HDLDA provides a unified framework for classical LDA and 2DLDA. Experimental results on color face images show the effectiveness and usefulness of the proposed method.
Citation:
Zhizheng Liang, "High-dimensional discriminant analysis and its application to color face images," icpr, vol. 2, pp.917-920, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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