A sequential multilinear Nyström algorithm for streaming low-rank approximation of tensors in Tucker format
Author:
Funder
University of Pisa
Istituto Nazionale di Alta Matematica "Francesco Severi"
Ministero dell’Istruzione, dell’Università e della Ricerca
Publisher
Elsevier BV
Reference17 articles.
1. A multilinear Nyström algorithm for low-rank approximation of tensors in tucker format;Bucci,2023
2. Low-rank tucker approximation of a tensor from streaming data;Sun;SIAM J. Math. Data Sci.,2020
3. A new truncation strategy for the higher-order singular value decomposition;Vannieuwenhoven;SIAM J. Sci. Comput.,2012
4. Randomized algorithms for the approximations of tucker and the tensor train decompositions;Che;Adv. Comput. Math.,2019
5. An efficient randomized algorithm for computing the approximate tucker decomposition;Che;J. Sci. Comput.,2021
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