Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)

Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)

Big data analysis has become a crucial part of new emerging technologies such as the internet of things, cyber-physical analysis, deep learning, anomaly detection, etc. Among many other techniques, dimensionality reduction plays a key role in such analyses and facilitates feature selection and featu...

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Bibliographic Details
Main Authors: Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Tohishisa Tanaka, Ivan Oseledets
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Randomized algorithm
tensor decomposition
random projection
sampling
unfolding
Tucker decomposition
Online Access:https://ieeexplore.ieee.org/document/9350569/

Internet

https://ieeexplore.ieee.org/document/9350569/

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