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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Non-Iterative Two-Dimensional Linear Discriminant Analysis
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Kohei Inoue, Kiichi Urahama, "Non-Iterative Two-Dimensional Linear Discriminant Analysis," Pattern Recognition, International Conference on, vol. 2, pp. 540-543, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.860,
author = {Kohei Inoue and Kiichi Urahama},
title = {Non-Iterative Two-Dimensional Linear Discriminant Analysis},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {540-543},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.860},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Non-Iterative Two-Dimensional Linear Discriminant Analysis
SN - 1051-4651
SP540
EP543
A1 - Kohei Inoue,
A1 - Kiichi Urahama,
PY - 2006
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Kohei Inoue, Kyushu University, Japan
Kiichi Urahama, Kyushu University, Japan
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to two-dimensional LDA (2DLDA), which is an iterative algorithm for data in matrix representation. In this paper, we propose non-iterative algorithms for 2DLDA. Experimental results show that the non-iterative algorithms achieve competitive recognition rates with the iterative 2DLDA, while they are computationally more efficient than the iterative 2DLDA.
Citation:
Kohei Inoue, Kiichi Urahama, "Non-Iterative Two-Dimensional Linear Discriminant Analysis," icpr, vol. 2, pp.540-543, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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