Rank-Adaptive Tensor Completion Based on Tucker Decomposition

Tensor completion is a fundamental tool to estimate unknown information from observed data, which is widely used in many areas, including image and video recovery, traffic data completion and the multi-input multi-output problems in information theory. Based on Tucker decomposition, this paper propo...

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Detalles Bibliográficos
Autores principales: Liu, Siqi, Shi, Xiaoyu, Liao, Qifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955114/
https://www.ncbi.nlm.nih.gov/pubmed/36832592
http://dx.doi.org/10.3390/e25020225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955114/
https://www.ncbi.nlm.nih.gov/pubmed/36832592
http://dx.doi.org/10.3390/e25020225

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