A mixture of nuclear norm and matrix factorization for tensor completion

DOI10.1007/s10915-017-0521-9zbMath1405.65059OpenAlexW2739919291MaRDI QIDQ1747028

Shangqi Gao, Qibin Fan

Publication date: 26 April 2018

Published in: Journal of Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10915-017-0521-9

zbMATH Keywords

nuclear normtensor completion

Mathematics Subject Classification ID

Related Items (6)

Tensor train rank minimization with hybrid smoothness regularization for visual data recovery ⋮ Fast multidimensional completion and principal component analysis methods via the cosine product ⋮ The global Golub-Kahan method and Gauss quadrature for tensor function approximation ⋮ Robust Schatten-\(p\) norm based approach for tensor completion ⋮ Low-rank tensor completion using matrix factorization based on tensor train rank and total variation ⋮ A tensor regularized nuclear norm method for image and video completion

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