{"title":"Coherent Low-tubal-Rank Tensor Completion","authors":"Andong Wang, Zhong Jin, Xiangrui Li","doi":"10.1109/ACPR.2017.66","DOIUrl":null,"url":null,"abstract":"The sufficient condition of exact completion of coherent low-tubal-rank tensors is studied in this paper. When the leveraged sampling strategy is adopted instead of the uniform sampling strategy, it can be shown that any 3-D tensor of size n_1 × n_2 × n_3 having tubal-rank r can be exactly recovered using tubal nuclear norm minimization with high probability when the number of observed entries is of order O(max{n_1, n_2}n_3r log^2((n_1+n_2)n_3)). This result removes the tensor incoherence parameter μ_0 in the sample complexity O(μ_0 max{n_1, n_2}n_3r log((n_1+n_2)n_3)) of uniform sampling strategy and can significantly reduce the number of observations for a tensor with The sufficient condition of exact completion of coherent low-tubal-rank tensors is studied in this paper. When the leveraged sampling strategy is adopted instead of the uniform sampling strategy, it can be shown that any 3-D tensor of size n1 x n2 x n3 having tubal-rank r can be exactly recovered using tubal nuclear norm minimization with high probability when the number of observed entries is of order O(max{n1, n2}n3r log2((n1+n2)n3)). This result removes the tensor incoherence parameter µ0 in the sample complexity O(µ0 max{n1, n2}n3r log((n1+n2)n3)) of uniform sampling strategy and can significantly reduce the number of observations for a tensor with large µ0.","PeriodicalId":426561,"journal":{"name":"2017 4th IAPR Asian Conference on Pattern Recognition (ACPR)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 4th IAPR Asian Conference on Pattern Recognition (ACPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACPR.2017.66","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The sufficient condition of exact completion of coherent low-tubal-rank tensors is studied in this paper. When the leveraged sampling strategy is adopted instead of the uniform sampling strategy, it can be shown that any 3-D tensor of size n_1 × n_2 × n_3 having tubal-rank r can be exactly recovered using tubal nuclear norm minimization with high probability when the number of observed entries is of order O(max{n_1, n_2}n_3r log^2((n_1+n_2)n_3)). This result removes the tensor incoherence parameter μ_0 in the sample complexity O(μ_0 max{n_1, n_2}n_3r log((n_1+n_2)n_3)) of uniform sampling strategy and can significantly reduce the number of observations for a tensor with The sufficient condition of exact completion of coherent low-tubal-rank tensors is studied in this paper. When the leveraged sampling strategy is adopted instead of the uniform sampling strategy, it can be shown that any 3-D tensor of size n1 x n2 x n3 having tubal-rank r can be exactly recovered using tubal nuclear norm minimization with high probability when the number of observed entries is of order O(max{n1, n2}n3r log2((n1+n2)n3)). This result removes the tensor incoherence parameter µ0 in the sample complexity O(µ0 max{n1, n2}n3r log((n1+n2)n3)) of uniform sampling strategy and can significantly reduce the number of observations for a tensor with large µ0.