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pro vyhledávání: '"Papagiannakos, Ioannis Marios"'
We consider the problem of nonnegative tensor completion. We adopt the alternating optimization framework and solve each nonnegative matrix completion problem via a stochastic variation of the accelerated gradient algorithm. We experimentally test th
Externí odkaz:
http://arxiv.org/abs/2109.09534
Autor:
Karakasis, Paris A. a, Kolomvakis, Christos a, Lourakis, George b, Lykoudis, George b, Papagiannakos, Ioannis Marios a, Siaminou, Ioanna a, Tsalidis, Christos b, Liavas, Athanasios P. a
Publikováno v:
In Tensors for Data Processing 2022:61-90
Autor:
Papagiannakos Ioannis-Marios
We consider the problem of nonnegative tensor completion. We adopt the alternating optimization framework and solve each nonnegative matrix least-squares with missing elements problem via a stochastic variation of the accelerated gradient algorithm,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bff18ac2df0b6c467ba977e4db2f82cf
http://purl.tuc.gr/dl/dias/9DFBC286-9CF2-4781-8681-A678A6998E37
http://purl.tuc.gr/dl/dias/9DFBC286-9CF2-4781-8681-A678A6998E37
We consider the problem of nonnegative tensor completion. We adopt the alternating optimization framework and solve each nonnegative matrix completion problem via a stochastic variation of the accelerated gradient algorithm. We experimentally test th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4373b27b4c78c9a7c9c4fbde8b405e4
http://purl.tuc.gr/dl/dias/8BB84BD1-7ED4-4E9E-9398-CB066FEEA045
http://purl.tuc.gr/dl/dias/8BB84BD1-7ED4-4E9E-9398-CB066FEEA045