Hankel Matrix Nuclear Norm Regularized Tensor Completion for $N$ -dimensional Exponential Signals

6 April 2016

Papers citing "Hankel Matrix Nuclear Norm Regularized Tensor Completion for $N$-dimensional Exponential Signals"

7 / 7 papers shown

Title
Structured Low-Rank Tensor Learning Jayadev Naram Tanmay Sinha Pawan Kumar 28 1 0 13 May 2023
Algorithms for Learning Graphs in Financial Markets José Vinícius de Miranda Cardoso Jiaxi Ying Daniel P. Palomar CML AIFin 66 17 0 31 Dec 2020
A Sparse Model-inspired Deep Thresholding Network for Exponential Signal Reconstruction -- Application in Fast Biological Spectroscopy Zehao Wang D. Guo Zhangren Tu Yihui Huang Yirong Zhou ... Donghai Lin Yongfu You Tatiana Agback V. Orekhov X. Qu 44 34 0 29 Dec 2020
$Does the $\ell_1$-norm Learn a Sparse Graph under Laplacian Constrained Graphical Models?$ Does the $\ell_1$ -norm Learn a Sparse Graph under Laplacian Constrained Graphical Models? Jiaxi Ying J. Cardoso Daniel P. Palomar 26 10 0 26 Jun 2020
Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy Dicheng Chen Zi Wang D. Guo V. Orekhov X. Qu 21 103 0 13 Jan 2020
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning M. Jacob M. Mani J. C. Ye 21 52 0 27 Oct 2019
Tensor Completion Algorithms in Big Data Analytics Qingquan Song Hancheng Ge James Caverlee Xia Hu 34 229 0 28 Nov 2017