Constrained CPD of Complex-Valued Multi-Subject fMRI Data via Alternating Rank-<i>R</i> and Rank-1 Least Squares-Reference-Cited by-同舟云学术

Constrained CPD of Complex-Valued Multi-Subject fMRI Data via Alternating Rank-R and Rank-1 Least Squares

Published:2022 Issue: Volume:30 Page:2630-2640
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Kuang Li-Dan¹^ORCID,Lin Qiu-Hua²^ORCID,Gong Xiao-Feng²^ORCID,Zhang Jianming¹^ORCID,Li Wenjun¹^ORCID,Li Feng¹^ORCID,Calhoun Vince D.³^ORCID

Affiliation:

1. School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China

2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

3. Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Atlanta, GA, USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Research Foundation of Education Bureau of Hunan Province

NSF

NIH

Fundamental Research Funds for the Central Universities, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

Reference36 articles.

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