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A Rank-One Tensor Updating Algorithm for Tensor Completion
IEEE Signal Processing Letters, 2015In this letter, we propose a rank-one tensor updating algorithm for solving tensor completion problems. Unlike the existing methods which penalize the tensor by using the sum of nuclear norms of unfolding matrices, our optimization model directly employs the tensor nuclear norm which is studied recently.
Yuning Yang +2 more
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Automorphisms of Tensor Completions of Algebras
Algebra and Logic, 2005Summary: In the classical representation of different groups, frequent use is made of a linear automorphism group of various algebras. Since the linear automorphism group is only part of a full automorphism group, such an approach might seem to be too restrictive.
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An Adaptive Correction Approach for Tensor Completion
SIAM Journal on Imaging Sciences, 2016Summary: In this paper, we study the tensor completion problem on recovery of the multilinear data under limited sampling. A popular convex relaxation of this problem is to minimize the nuclear norm of the more square matrix produced by matricizing a tensor. However, it may fail to produce a highly accurate solution under low sample ratio.
Minru Bai +3 more
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Journal of Algorithms, 1989
We prove that computing the rank of a three-dimensional tensor over any finite field is NP-complete. Over the rational numbers the problem is NP-hard.
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We prove that computing the rank of a three-dimensional tensor over any finite field is NP-complete. Over the rational numbers the problem is NP-hard.
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TENSOR COMPLETION FOR A CERTAIN CLASS OF GROUPS
International Journal of Algebra and Computation, 1996In this paper we construct the tensor A-completion over an arbitrary torsion-free ring A for groups whose maximal abelian subgroups are either conjugate separated or A-modules. As a corollary, this result gives us an explicit description of the structure of tensor completion for groups of the form F/N′, in particular, for free solvable groups. We also
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ON TENSOR PRODUCTS OF MONOTONE COMPLETE ALGEBRAS
The Quarterly Journal of Mathematics, 1984Over thirty years ago, Kaplansky initiated the study of \(AW^*\)-algebras and, in particular, extended the Murray-von Neumann classification to those more general algebras. He gave a complete analysis of Type I \(AW^*\)-algebras and showed that an \({\mathcal N}\)-homogeneous Type I \(AW^*\)-algebra may be regarded as an \({\mathcal N}\times {\mathcal ...
Saitô, Kazuyuki, Wright, J. D. Maitland
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Multi-Aspect Streaming Tensor Completion
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017Tensor completion has become an effective computational tool in many real-world data-driven applications. Beyond traditional static setting, with the increasing popularity of high velocity streaming data, it requires efficient online processing without reconstructing the whole model from scratch.
Qingquan Song +4 more
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Tensor Wheel Decomposition and Its Tensor Completion Application
Advances in Neural Information Processing Systems 35, 2022Zhong-Cheng Wu +4 more
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Nonlocal Low-Rank Tensor Completion for Visual Data
IEEE Transactions on Cybernetics, 2021Bo Du, Lefei Zhang
exaly
Tensor completion via tensor QR decomposition and L2,1-norm minimization
Signal Processing, 2021An-Bao Xu
exaly

