Faster TKD: Towards Lightweight Decomposition for Large-Scale Tensors With Randomized Block Sampling-Reference-Cited by-同舟云学术

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Faster TKD: Towards Lightweight Decomposition for Large-Scale Tensors With Randomized Block Sampling

Published:2022 Issue: Volume: Page:1-14
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Jiang Xiaofeng¹^ORCID,Wang Xiaodong²^ORCID,Yang Jian¹^ORCID,Chen Shuangwu¹^ORCID,Qin Xi³^ORCID

Affiliation:

1. Department of Automation, China

2. Department of Electrical Engineering, Columbia University, New York, NY, USA

3. Hefei National Laboratory for Physical Sciences at the Microscale and Department of Modern Physics and CAS Key Laboratory of Microscale Magnetic Resonance, University of Science and Technology of China, Hefei, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09935318.pdf?arnumber=9935318

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