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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., Kolomvakis, Christos, Lourakis, George, Lykoudis, George, Papagiannakos, Ioannis Marios, Siaminou, Ioanna, Tsalidis, Christos, Liavas, Athanasios P.
Publikováno v:
In Tensors for Data Processing 2022:61-90
Autor:
Batselier, Kim, Bi, Yingyue, Boulanger, Jérémie, Boyer, Rémy, Caiafa, Cesar F., Chanussot, Jocelyn, Chatzichristos, Christos, Chen, Cong, Cohen, Nadav, Cui, Xudong, de Almeida, André L.F., Erol, Aybüke, Fang, Yiming, Favier, Gérard, Hunyadi, Borbála, Jawanpuria, Pratik, Jiang, Tai-Xiang, Karakasis, Paris A., Karmouda, Ouafae, Kasai, Hiroyuki, Kofidis, Eleftherios, Kolomvakis, Christos, Levine, Yoav, Li, Zechu, Liavas, Athanasios P., Lin, Zhouchen, Liu, Xiao-Yang, Liu, Yipeng, Long, Zhen, Lourakis, George, Lu, Canyi, Lu, Liangfu, Lu, Yingcong, Lykoudis, George, Mishra, Bamdev, Ng, Michael K., Papagiannakos, Ioannis Marios, Ren, Bo, Sharir, Or, Shashua, Amnon, Siaminou, Ioanna, Tsalidis, Christos, Van Eyndhoven, Simon, Van Huffel, Sabine, Walid, Anwar, Wen, Fei, Wies, Noam, Wong, Ngai, Wu, Zebin, Xu, Yang, Yang, Liuqing, Ye, Fei, Yokota, Tatsuya, Zhang, Zhonghao, Zhao, Qibin, Zhao, Xi-Le, Zhou, Pan, Zhu, Ce, Zniyed, Yassine
Publikováno v:
In Tensors for Data Processing 2022:xiii-xvii
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