DocumentCode
457274
Title
High-dimensional discriminant analysis and its application to color face images
Author
Liang, Zhizheng
Author_Institution
Dept. of Comput., Harbin Inst. of Technol.
Volume
2
fYear
0
fDate
0-0 0
Firstpage
917
Lastpage
920
Abstract
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
Keywords
image colour analysis; iterative methods; linear algebra; pattern classification; singular value decomposition; HDLDA; color face images; high-dimensional linear discriminant analysis; iterative algorithm; multilinear algebra; noniterative algorithm; signal processing; Algebra; Computer vision; Image analysis; Image color analysis; Iterative algorithms; Linear discriminant analysis; Matrix decomposition; Multidimensional systems; Signal processing algorithms; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.625
Filename
1699355
Link To Document