Competitive learning with subspace search in transform domain

Wen Jyi Hwang; Shi Chiang Liao

doi:10.1049/el:19980858

Competitive learning with subspace search in transform domain

Wen Jyi Hwang^*, Shi Chiang Liao

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

A new competitive learning (CL) algorithm with k-winners-take-all activation is presented. The k winning neurons for updating are those best matching the input vector in the wavelet domain with subspace search. Simulation results show that the algorithm gives a better performance than that of the traditional CL algorithm while requiring much less computational time.

Original language	English
Pages (from-to)	1240-1241
Number of pages	2
Journal	Electronics Letters
Volume	34
Issue number	12
DOIs	https://doi.org/10.1049/el:19980858
Publication status	Published - 1998 Jun 11
Externally published	Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering

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title = "Competitive learning with subspace search in transform domain",

abstract = "A new competitive learning (CL) algorithm with k-winners-take-all activation is presented. The k winning neurons for updating are those best matching the input vector in the wavelet domain with subspace search. Simulation results show that the algorithm gives a better performance than that of the traditional CL algorithm while requiring much less computational time.",

author = "Hwang, {Wen Jyi} and Liao, {Shi Chiang}",

year = "1998",

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AB - A new competitive learning (CL) algorithm with k-winners-take-all activation is presented. The k winning neurons for updating are those best matching the input vector in the wavelet domain with subspace search. Simulation results show that the algorithm gives a better performance than that of the traditional CL algorithm while requiring much less computational time.

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JO - Electronics Letters

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Competitive learning with subspace search in transform domain

Abstract

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