IEICE Electronics Express
Online ISSN : 1349-2543
ISSN-L : 1349-2543
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Rough winner-take-all for hardware oriented vector quantization algorithm
Hakaru TamukohKeiichi HorioTakeshi YamakawaMasatoshi Sekine
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2011 Volume 8 Issue 11 Pages 773-779

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Abstract

In this paper, we propose a hardware oriented vector quantization algorithm employing rough-winner-take-all neural network. The proposed algorithm is almost same as K-means clustering which is the simplest vector quantization. The only different point is that the proposed method employs rough-winner-take-all as the substitute of ordinary winner-take-all. In a rough-winner-take-all strategy, the winner is roughly selected in the early learning stage and is strictly assigned in the later stage. The simulation results show that the quantization performance of the proposed method is nearly equal to Neural Gas which is an excellent vector quantization. Besides, the proposed method can be realized as an extra mode of existing K-means or Self-Organizing Map hardware by changing its winner-take-all controlling.

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© 2011 by The Institute of Electronics, Information and Communication Engineers
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