Tensor denoising via dual Schatten norms

DOI10.1007/S11590-023-02068-8MaRDI QIDQ6542463

Maryam Bagherian

Publication date: 22 May 2024

Published in: Optimization Letters (Search for Journal in Brave)

zbMATH Keywords

Schatten normstruncated nuclear normtensor denoisingPareto efficient pairtruncated spectral norm

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• Tensor Decompositions and Applications
• On the nuclear norm and the singular value decomposition of tensors
• Low rank approximation. Algorithms, implementation, applications
• Pareto optimality, game theory and equilibria
• On the tensor spectral \(p\)-norm and its dual norm via partitions
• On the Best Rank-1 and Rank-(R₁ ,R₂ ,. . .,R_N) Approximation of Higher-Order Tensors
• Core-Chasing Algorithms for the Eigenvalue Problem
• A General Theory of Singular Values with Applications to Signal Denoising
• Nuclear norm of higher-order tensors
• Exact Tensor Completion Using t-SVD
• Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging
• The Sup-norm Perturbation of HOSVD and Low Rank Tensor Denoising
• Most Tensor Problems Are NP-Hard

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