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Journal Article Margin Preserving Projection
Cited 3 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Y. Lee, D. Ahn, K. Moon
Issue Date
2006-10
Citation
Electronics Letters, v.42, no.21, pp.1249-1250
ISSN
0013-5194
Publisher
IET
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1049/el:20062087
Abstract
Proposed is a novel feature extraction method of finding projection directions that preserve the distance between class boundaries, i.e. margin. The proposed method is a supervised version of locality preserving projection and overcomes the two main drawbacks of Fisher linear discriminant: failure to find useful projection directions when the means of classes coincide with each other and inability to find more features than the number of classes. Experimental results show the effectiveness of the proposed method. © The Institution of Engineering and Technology 2006.
KSP Keywords
Fisher linear discriminant, Locality preserving projection(LPP), More features, feature extraction method