Recursive least squares approach to combining principal and minor component analyses

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

9 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)1074-1076
Journal / PublicationElectronics Letters
Volume34
Issue number11
Publication statusPublished - 28 May 1998

Abstract

A novel approach for high-performance data compression using neural networks is proposed. After the principal components of the input vectors are extracted, the error covariance matrix obtained in the recursive least square training process is used to perform minor components pruning so that a higher compression ratio is achieved. Simulation results show that our method effectively combines principal and minor component analyses.

Citation Format(s)

Recursive least squares approach to combining principal and minor component analyses. / Wong, Arnold-Shu-Yan; Wong, Kwok-Wo; Leung, Chi-Sing.
In: Electronics Letters, Vol. 34, No. 11, 28.05.1998, p. 1074-1076.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review