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Dual LDA for face recognition

Skarbek, W, Kucharski, K and Bober, M (2004) Dual LDA for face recognition Fundamenta Informaticae, 61 (3-4). pp. 303-334.

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Abstract

The complete theory for Fisher and dual discriminant analysis is presented as the background of the novel algorithms. LDA is found as composition of projection onto the singular subspace for within-class normalised data with the projection onto the singular subspace for between-class normalised data. The dual LDA consists of those projections applied in reverse order. The experiments show that using suitable composition of dual LDA transformations gives as least as good results as recent state-of-the-art solutions.

Item Type: Article
Authors :
NameEmailORCID
Skarbek, WUNSPECIFIEDUNSPECIFIED
Kucharski, KUNSPECIFIEDUNSPECIFIED
Bober, Mm.bober@surrey.ac.ukUNSPECIFIED
Date : 1 July 2004
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:12
Last Modified : 17 May 2017 15:02
URI: http://epubs.surrey.ac.uk/id/eprint/834396

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