Order statistics learning vector quantizer

Author

Pitas, I. ; Kotropoulos, C. ; Nikolaidis, N. ; Yang, R. ; Gabbouj, M.

Author_Institution

Dept. of Inf., Thessaloniki Univ., Greece

Volume

Issue

fYear

1996

fDate

6/1/1996 12:00:00 AM

Firstpage

1048

Lastpage

1053

Abstract

We propose a novel class of learning vector quantizers (LVQs) based on multivariate data ordering principles. A special case of the novel LVQ class is the median LVQ, which uses either the marginal median or the vector median as a multivariate estimator of location. The performance of the proposed marginal median LVQ in color image quantization is demonstrated by experiments

Keywords

estimation theory; image colour analysis; learning (artificial intelligence); neural nets; pattern classification; statistical analysis; vector quantisation; LVQ; color image quantization; experiments; marginal median; median LVQ; multivariate data ordering; multivariate location estimator; order statistics learning vector quantizer; performance; vector median; Arithmetic; Artificial neural networks; Color; Encoding; Error correction; Network topology; Neural networks; Quantization; Statistics; Vectors;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.503919

Filename

503919

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=984177