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Use of Kohonen's self-organizing network as a pre-quantizer

DSpace at IIT Bombay

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Field Value
 
Title Use of Kohonen's self-organizing network as a pre-quantizer
 
Creator KHAPARDE, SA
GANDHI, HARISH
 
Subject quantisation
self-organising feature maps
 
Description Kohonen's network has the ability to achieve near optimal quantization of the input space. The Kohonen's training algorithm adapts very quickly to the input space and requires much less computation. Many experiments are carried out to compare the performance of the LBG algorithm and the Kohonen's algorithm. The variables used are the dimensionality of the input space and the level of organization. The results are found to confirm the faster adaptation of the Kohonen's algorithm although the final distortion levels are slightly higher. A combination of the two approaches is suggested to achieve lower distortion values with less training.
 
Publisher IEEE
 
Date 2008-12-10T06:37:07Z
2011-11-28T08:31:14Z
2011-12-15T09:57:41Z
2008-12-10T06:37:07Z
2011-11-28T08:31:14Z
2011-12-15T09:57:41Z
1993
 
Type Article
 
Identifier Proceedings of the IEEE International Conference on Neural Networks (V 2), San Francisco, USA, 28 March -1 April, 1993, 967-971
0-7803-0999-5
10.1109/ICNN.1993.298688
http://hdl.handle.net/10054/252
http://dspace.library.iitb.ac.in/xmlui/handle/10054/252
 
Language en