Hyperspectral Tensor Completion Using Low-Rank Modeling and Convex Functional Analysis-Reference-Cited by-同舟云学术

Hyperspectral Tensor Completion Using Low-Rank Modeling and Convex Functional Analysis

Author:

Lin Chia-Hsiang¹^ORCID,Liu Yangrui¹^ORCID,Chi Chong-Yung²^ORCID,Hsu Chih-Chung³^ORCID,Ren Hsuan⁴,Quek Tony Q. S.⁵^ORCID

Affiliation:

1. Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan

2. Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan

3. Department of Statistics, National Cheng Kung University, Tainan, Taiwan

4. Center for Space and Remote Sensing Research, National Central University, Taoyuan, Taiwan

5. Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Singapore, Singapore

Funder

Young Scholar Fellowship Program (Einstein Program) of Ministry of Science and Technology (MOST) in Taiwan

Higher Education Sprout Project of Ministry of Education (MOE) to the Headquarters of University Advancement at National Cheng Kung University

Center for Data Science (CDS) at NCKU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

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