A novel approach for vector quantization using a neural network, mean shift, and principal component analysis-based seed re-initialization

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题名:	A novel approach for vector quantization using a neural network, mean shift, and principal component analysis-based seed re-initialization
作者:	Han,Chin-Chuan;Chen,Ying-Nong;Lo,Chih-Chung;Wang,Cheng-Tzu
贡献者:	資訊工程研究所
关键词:	ALGORITHM
日期:	2007
上传时间:	2010-07-06 18:11:07 (UTC+8)
出版者:	中央大學
摘要:	In this paper, a hybrid approach for vector quantization (VQ) is proposed for obtaining the better codebook. It is modified and improved based on the centroid neural network adaptive resonance theory (CNN-ART) and the enhanced Linde-BLIzo-Gray (LBG) appro
關聯:	SIGNAL PROCESSING
显示于类别:	[資訊工程研究所] 期刊論文

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