Field-of-Experts Filters Guided Tensor Completion

	Field-of-Experts Filters Guided Tensor Completion
	Li, Sanqian; Wang, Shanshan; Liang, Dong; Xiong, Biao; Liu, Qiegen; Xiong, Jiaojiao
刊名	IEEE TRANSACTIONS ON MULTIMEDIA
	2018
文献子类	期刊论文
英文摘要	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 image is convolved by FoE filters to produce multiview features as a high-order tensor, which captures complementary information from multiple views. In order to impose the concept, we employ two strategies to model the new tensor, one is called FoE filters guided low-rank tensor completion, and another is called FoE filters guided simultaneous tensor decomposition and completion (FoE-STDC). The resulting objectives are solved efficiently by alternating minimization. Extensive experimental results validate the superior performance and robustness of the proposed methods over their corresponding counterparts in all cases. Particularly, the proposed FoE-STDC is superior to the state-of-the-art tensor completion methods.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14350]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Li, Sanqian,Wang, Shanshan,Liang, Dong,et al. Field-of-Experts Filters Guided Tensor Completion[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2018.
APA	Li, Sanqian,Wang, Shanshan,Liang, Dong,Xiong, Biao,Liu, Qiegen,&Xiong, Jiaojiao.(2018).Field-of-Experts Filters Guided Tensor Completion.IEEE TRANSACTIONS ON MULTIMEDIA.
MLA	Li, Sanqian,et al."Field-of-Experts Filters Guided Tensor Completion".IEEE TRANSACTIONS ON MULTIMEDIA (2018).