Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications-Reference-Cited by-同舟云学术

Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications

Published:2020-05 Issue:5 Volume:50 Page:1844-1855
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Luo Xin^ORCID,Zhou Mengchu^ORCID,Li Shuai^ORCID,Hu Lun^ORCID,Shang Mingsheng^ORCID

Funder

National Natural Science Foundation of China

FDCT

Chongqing Research Program of Technology Innovation and Application

Chongqing Cultivation Program of Innovation and Entrepreneurship Demonstration Group

Chongqing Overseas Scholars Innovation Program

Pioneer Hundred Talents Program of Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/9068331/08654191.pdf?arnumber=8654191

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