Adaptive Weight and Wasserstein Distance Constrained Low-Rank Sparse Representation Method for Functional Connectivity Network Estimation-Reference-Cited by-同舟云学术

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Adaptive Weight and Wasserstein Distance Constrained Low-Rank Sparse Representation Method for Functional Connectivity Network Estimation

Published:2024 Issue: Volume: Page:1-11
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Liu Jingyu¹^ORCID,Li Zhigang¹^ORCID,Sheng Yuhang¹^ORCID,Zhou Jingjing²^ORCID,Feng Lei²^ORCID,Cai Hongxin¹^ORCID,Liu Weijia¹^ORCID,Tian Fuze¹^ORCID,Dong Qunxi¹^ORCID,Liu Rui²^ORCID

Affiliation:

1. Key Laboratory of Brain Health Intelligent Evaluation and Intervention, Ministry of Education, and the School of Medical Technology, Beijing Institute of Technology, Beijing, China

2. National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6570650/6780646/10549938.pdf?arnumber=10549938

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancements in Affective Disorder Detection: Using Multimodal Physiological Signals and Neuromorphic Computing Based on SNNs;IEEE Transactions on Computational Social Systems;2024

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