Field-of-Experts Filters Guided Tensor Completion

• Published in: IEEE transactions on multimedia Vol. 20; no. 9; pp. 2316 - 2329
• Main Authors: Xiong, Biao, Liu, Qiegen, Xiong, Jiaojiao, Li, Sanqian, Wang, Shanshan, Liang, Dong
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: alternative minimization; Brain modeling; Data models; field-of-experts; Low-rank tensor; Matrix decomposition; Minimization; multi-view features; Target recognition; Tensile stress; tensor completion; Visualization

Most low-rank tensor approximations are NP-hard problems. In this paper, we introduce a novel concept: field-of-experts (FoE) filters guided tensor completion, which aims to integrate the strengths of the emerging tensor completion method and the conventional FoE filters. Specifically, the target im...