UM
An uncorrelated fisherface approach
Jing X.-Y.4; Wong H.-S.2; Zhang D.1; Tang Y.-Y.3
2005-08-01
Source PublicationNeurocomputing
ISSN09252312
Volume67Issue:1-4 SUPPL.Pages:328-334
AbstractThe Fisherface method is the most representative method of the linear discrimination analysis (LDA) technique. However, there persists in the Fisherface method at least two areas of weakness. The first weakness is that it cannot make the achieved discrimination vectors completely satisfy the statistical uncorrelation while costing a minimum of computing time. The second weakness is that not all the discrimination vectors are useful in pattern classification. In this paper, we propose an uncorrelated Fisherface approach (UFA) to improve the Fisherface method in these two areas. Experimental results on different image databases demonstrate that UFA outperforms the Fisherface method and the uncorrelated optimal discrimination vectors (UODV) method. © 2005 Elsevier B.V. All rights reserved.
KeywordComputing time Discrimination vectors selection Linear discrimination analysis (LDA) Statistical uncorrelation Uncorrelated Fisherface approach (UFA)
DOI10.1016/j.neucom.2005.01.001
URLView the original
Language英語
Fulltext Access
Citation statistics
Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Hong Kong Polytechnic University
2.City University of Hong Kong
3.Hong Kong Baptist University
4.Harbin Institute of Technology
Recommended Citation
GB/T 7714
Jing X.-Y.,Wong H.-S.,Zhang D.,et al. An uncorrelated fisherface approach[J]. Neurocomputing,2005,67(1-4 SUPPL.):328-334.
APA Jing X.-Y.,Wong H.-S.,Zhang D.,&Tang Y.-Y..(2005).An uncorrelated fisherface approach.Neurocomputing,67(1-4 SUPPL.),328-334.
MLA Jing X.-Y.,et al."An uncorrelated fisherface approach".Neurocomputing 67.1-4 SUPPL.(2005):328-334.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jing X.-Y.]'s Articles
[Wong H.-S.]'s Articles
[Zhang D.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jing X.-Y.]'s Articles
[Wong H.-S.]'s Articles
[Zhang D.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jing X.-Y.]'s Articles
[Wong H.-S.]'s Articles
[Zhang D.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.