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	Uncorrelated Multilinear Principal Component Analysis Plus Linear Discriminant Analysis: Effective Feature Extraction for Structural Magnetic Resonance Imaging Data of Alzheimer Disease
	Lai, Chunlu; Liu, Ju; Wu, Qiang
刊名	Journal of Medical Imaging and Health Informatics
	2015
卷号	5期号:2页码:366-373
关键词	Alzheimer Disease Structural Magnetic Resonance Imaging Feature Extraction Uncorrelated Multilinear Principal Component Analysis Linear Discriminate Analysis Support Vector Machine
DOI	10.1166/jmihi.2015.1401
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4780934
专题	山东大学
作者单位	School of Information and Electrical Engineering, Harbin Institute of Technology at Weihai, Weihai, 264209, China, School of Information Scie
推荐引用方式 GB/T 7714	Lai, Chunlu,Liu, Ju,Wu, Qiang. Uncorrelated Multilinear Principal Component Analysis Plus Linear Discriminant Analysis: Effective Feature Extraction for Structural Magnetic Resonance Imaging Data of Alzheimer Disease[J]. Journal of Medical Imaging and Health Informatics,2015,5(2):366-373.
APA	Lai, Chunlu,Liu, Ju,&Wu, Qiang.(2015).Uncorrelated Multilinear Principal Component Analysis Plus Linear Discriminant Analysis: Effective Feature Extraction for Structural Magnetic Resonance Imaging Data of Alzheimer Disease.Journal of Medical Imaging and Health Informatics,5(2),366-373.
MLA	Lai, Chunlu,et al."Uncorrelated Multilinear Principal Component Analysis Plus Linear Discriminant Analysis: Effective Feature Extraction for Structural Magnetic Resonance Imaging Data of Alzheimer Disease".Journal of Medical Imaging and Health Informatics 5.2(2015):366-373.

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