RECOVERING LOW CP/TUCKER RANKED TENSORS, WITH APPLICATIONS IN TENSOR COMPLETION | |
Gao, Xiang1; Jiang, Bo2; Tao, Shaozhe3 | |
刊名 | PACIFIC JOURNAL OF OPTIMIZATION
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2015-04 | |
卷号 | 11期号:2页码:385-402 |
关键词 | tensor low rank group sparsity tensor completion |
ISSN号 | 1348-9151 |
英文摘要 | In this paper, we propose a method to find tensor decompositions with low CP rank. In our approach, no prior knowledge is assumed regarding the rank of the tensor to be recovered. The key underlying idea is to take advantage of group sparsity structure. The L-1,L-2-norm regularization and the L-1,L-infinity-norm regularization are proposed to achieve the group sparse effect. Then the problem reduce to the multi-block optimization, which can be efficiently solved by the so-called Block Coordinate Decent (BCD) method. We also show that our approach can be used to solve the tensor low CP/Tucker rank completion problem. Simulation results demonstrate that our new method performs well numerically, especially when the tensor to be recovered indeed has a low rank structure. |
WOS研究方向 | Operations Research & Management Science ; Mathematics |
语种 | 英语 |
出版者 | YOKOHAMA PUBL |
WOS记录号 | WOS:000355241700011 |
内容类型 | 期刊论文 |
源URL | [http://10.2.47.112/handle/2XS4QKH4/1556] ![]() |
专题 | 上海财经大学 |
通讯作者 | Jiang, Bo |
作者单位 | 1.Univ Minnesota, Dept Ind & Syst Engn, Minneapolis, MN 55455 USA; 2.Shanghai Univ Finance & Econ, Sch Informat Management & Engn, Res Ctr Management Sci & Data Analyt, Shanghai 200433, Peoples R China; 3.Univ Minnesota, Dept Ind & Syst Engn, Minneapolis, MN 55455 USA |
推荐引用方式 GB/T 7714 | Gao, Xiang,Jiang, Bo,Tao, Shaozhe. RECOVERING LOW CP/TUCKER RANKED TENSORS, WITH APPLICATIONS IN TENSOR COMPLETION[J]. PACIFIC JOURNAL OF OPTIMIZATION,2015,11(2):385-402. |
APA | Gao, Xiang,Jiang, Bo,&Tao, Shaozhe.(2015).RECOVERING LOW CP/TUCKER RANKED TENSORS, WITH APPLICATIONS IN TENSOR COMPLETION.PACIFIC JOURNAL OF OPTIMIZATION,11(2),385-402. |
MLA | Gao, Xiang,et al."RECOVERING LOW CP/TUCKER RANKED TENSORS, WITH APPLICATIONS IN TENSOR COMPLETION".PACIFIC JOURNAL OF OPTIMIZATION 11.2(2015):385-402. |
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