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Reference TypeConference Proceedings
Identifier6qtX3pFwXQZeBBx/GEG3a
Repositorysid.inpe.br/banon/2005/07.05.16.47
Metadatasid.inpe.br/banon/2005/07.05.16.47.10
Sitesibgrapi.sid.inpe.br
Citation KeyThomazGill:2005:ApFaRe
Author1 Thomaz, Carlos Eduardo
2 Gillies, Duncan Fyfe
Affiliation1 Centro Universitario da FEI, Sao Paulo, Brazil
2 Imperial College, London, UK
TitleA maximum uncertainty LDA-based approach for limited sample size problems - with application to face recognition
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Year2005
EditorRodrigues, Maria Andr?ia Formico
Frery, Alejandro C?sar
Book TitleProceedings
Date9-12 Oct. 2005
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationNatal
KeywordsLDA, maximum uncertainty LDA, limited sample size, face recognition.
AbstractA critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recognition applications such as face recognition, there are often a large number of pixels or pre-processed features available, but the total number of training patterns is limited and commonly less than the dimension of the feature space. In this paper, a maximum uncertainty LDA-based method is proposed. It is based on a straightforward stabilisation approach for the within-class scatter matrix. In order to evaluate its effectiveness, experiments on face recognition using the well-known ORL and FERET face databases were carried out and compared with other LDA-based methods. The results indicate that our method improves the LDA classification performance when the within-class scatter matrix is not only singular but also poorly estimated, with or without a Principal Component Analysis intermediate step and using less linear discriminant features.
Languageen
Tertiary TypeFull Paper
FormatOn-line
Size107 KiB
Number of Files1
Target Filethomazc_mlda.pdf
Last Update2005:07.05.03.00.00 sid.inpe.br/banon/2001/03.30.15.38 administrator
Metadata Last Update2020:02.19.03.19.08 sid.inpe.br/banon/2001/03.30.15.38 administrator {D 2005}
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Is the master or a copy?is the master
e-Mail Addresscet@fei.edu.br
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Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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History2008-07-17 14:10:58 :: cet -> banon ::
2008-08-26 15:17:01 :: banon -> administrator ::
2009-08-13 20:37:43 :: administrator -> banon ::
2010-08-28 20:01:17 :: banon -> administrator ::
2020-02-19 03:19:08 :: administrator -> :: 2005
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Access Date2020, Nov. 25

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