Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation
Within the tensor singular value decomposition (T-SVD) framework, existing robust low-rank tensor completion approaches have made great achievements in various areas of science and engineering. Nevertheless, these methods involve the T-SVD based low-rank approximation, which suffers from high comput...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 01., Seite 2835-2850
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| Auteur principal: |
Qin, Wenjin
(Auteur) |
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| Autres auteurs: |
Wang, Hailin,
Zhang, Feng,
Ma, Weijun,
Wang, Jianjun,
Huang, Tingwen |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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