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Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling
Rogers F. Silva; Sergey M. Plis; Sui Jing(隋婧); Marios S. Pattichis; Tülay Adalı; Vince D. Calhoun
Source PublicationIEEE Journal of Selected Topics in Signal Processing
2016-06-27
Volume7Issue:10Pages:1134-1149
Abstract

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KeywordBss Neuroimaging Unimodal Multimodality Multiset Data Analysis Overview Subspace Unify
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20292
Collection脑网络组研究中心
Corresponding AuthorRogers F. Silva
Recommended Citation
GB/T 7714
Rogers F. Silva,Sergey M. Plis,Sui Jing,et al. Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling[J]. IEEE Journal of Selected Topics in Signal Processing,2016,7(10):1134-1149.
APA Rogers F. Silva,Sergey M. Plis,Sui Jing,Marios S. Pattichis,Tülay Adalı,&Vince D. Calhoun.(2016).Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling.IEEE Journal of Selected Topics in Signal Processing,7(10),1134-1149.
MLA Rogers F. Silva,et al."Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling".IEEE Journal of Selected Topics in Signal Processing 7.10(2016):1134-1149.
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