Title :
Order statistics learning vector quantizer
Author :
Pitas, I. ; Kotropoulos, C. ; Nikolaidis, N. ; Yang, R. ; Gabbouj, M.
Author_Institution :
Dept. of Inf., Thessaloniki Univ., Greece
fDate :
6/1/1996 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
