Skip to main content

Sparse and Low-Rank Tensor Estimation via Cubic Sketchings

Publication ,  Journal Article
Hao, B; Zhang, A; Cheng, G
Published in: IEEE Transactions on Information Theory
September 2020

Duke Scholars

Published In

IEEE Transactions on Information Theory

DOI

EISSN

1557-9654

ISSN

0018-9448

Publication Date

September 2020

Volume

66

Issue

9

Start / End Page

5927 / 5964

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related Subject Headings

  • Networking & Telecommunications
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Hao, B., Zhang, A., & Cheng, G. (2020). Sparse and Low-Rank Tensor Estimation via Cubic Sketchings. IEEE Transactions on Information Theory, 66(9), 5927–5964. https://doi.org/10.1109/tit.2020.2982499
Hao, Botao, Anru Zhang, and Guang Cheng. “Sparse and Low-Rank Tensor Estimation via Cubic Sketchings.” IEEE Transactions on Information Theory 66, no. 9 (September 2020): 5927–64. https://doi.org/10.1109/tit.2020.2982499.
Hao B, Zhang A, Cheng G. Sparse and Low-Rank Tensor Estimation via Cubic Sketchings. IEEE Transactions on Information Theory. 2020 Sep;66(9):5927–64.
Hao, Botao, et al. “Sparse and Low-Rank Tensor Estimation via Cubic Sketchings.” IEEE Transactions on Information Theory, vol. 66, no. 9, Institute of Electrical and Electronics Engineers (IEEE), Sept. 2020, pp. 5927–64. Crossref, doi:10.1109/tit.2020.2982499.
Hao B, Zhang A, Cheng G. Sparse and Low-Rank Tensor Estimation via Cubic Sketchings. IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers (IEEE); 2020 Sep;66(9):5927–5964.

Published In

IEEE Transactions on Information Theory

DOI

EISSN

1557-9654

ISSN

0018-9448

Publication Date

September 2020

Volume

66

Issue

9

Start / End Page

5927 / 5964

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related Subject Headings

  • Networking & Telecommunications
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing