DocumentCode :
292361
Title :
Multidimensional histogram classifier design by using vector quantization
Author :
Xie, Qiaobing ; Ward, Rabab K. ; Laszlo, Charles A.
Author_Institution :
Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
Volume :
1
fYear :
1993
fDate :
19-21 May 1993
Firstpage :
39
Abstract :
It is found that the performance of the classifier designed with this method is similar to that of the traditional NN classifier in terms of classification accuracy. At the same time the classifier designed with the method is significantly more economical and easier to implement than the NN
Keywords :
image classification; multidimensional systems; vector quantisation; classification accuracy; multidimensional histogram classifier design; performance; vector quantization; Adaptive algorithm; Computational efficiency; Histograms; Multidimensional systems; Neural networks; Probability density function; Shape; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and Signal Processing, 1993., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0971-5
Type :
conf
DOI :
10.1109/PACRIM.1993.407225
Filename :
407225
Link To Document :
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