Tracking online low-rank approximations of higher-order incomplete streaming tensors

In this paper, we propose two new provable algorithms for tracking online low-rank approximations of high-order streaming tensors with missing data. The first algorithm, dubbed adaptive Tucker decomposition (ATD), minimizes a weighted recursive least-squares cost function to obtain the tensor factor...

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Detalles Bibliográficos
Autores principales: Thanh, Le Trung, Abed-Meraim, Karim, Trung, Nguyen Linh, Hafiane, Adel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318370/
https://www.ncbi.nlm.nih.gov/pubmed/37409051
http://dx.doi.org/10.1016/j.patter.2023.100759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318370/
https://www.ncbi.nlm.nih.gov/pubmed/37409051
http://dx.doi.org/10.1016/j.patter.2023.100759

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