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Hankel Matrix Nuclear Norm Regularized Tensor Completion for
  $N$-dimensional Exponential Signals
v1v2 (latest)

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

6 April 2016
Jiaxi Ying
Hengfa Lu
Qingtao Wei
Jian-Feng Cai
D. Guo
Jihui Wu
Zhong Chen
X. Qu
ArXiv (abs)PDFHTML

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

13 / 13 papers shown
Title
TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy
TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy
Zihao Zou
Shirin Shoushtari
Jiaming Liu
Jialiang Zhang
Patrick Judge
Emilia Santana
Alison Lim
Marcus Foston
Ulugbek S. Kamilov
73
0
0
17 May 2024
Network Topology Inference with Sparsity and Laplacian Constraints
Network Topology Inference with Sparsity and Laplacian Constraints
Jiaxi Ying
Xi Han
Rui Zhou
Xiwen Wang
H. C. So
56
2
0
02 Sep 2023
Structured Low-Rank Tensor Learning
Structured Low-Rank Tensor Learning
Jayadev Naram
Tanmay Sinha
Pawan Kumar
61
1
0
13 May 2023
Identifying the fragment structure of the organic compounds by deeply
  learning the original NMR data
Identifying the fragment structure of the organic compounds by deeply learning the original NMR data
Chongcan Li
Yong Cong
Weihua Deng
13
0
0
25 Jul 2021
Implicit Regularization in Deep Tensor Factorization
Implicit Regularization in Deep Tensor Factorization
P. Milanesi
Hachem Kadri
Stéphane Ayache
Thierry Artières
85
9
0
04 May 2021
Algorithms for Learning Graphs in Financial Markets
Algorithms for Learning Graphs in Financial Markets
José Vinícius de Miranda Cardoso
Jiaxi Ying
Daniel P. Palomar
CMLAIFin
124
17
0
31 Dec 2020
A Sparse Model-inspired Deep Thresholding Network for Exponential Signal
  Reconstruction -- Application in Fast Biological Spectroscopy
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
147
35
0
29 Dec 2020
Does the $\ell_1$-norm Learn a Sparse Graph under Laplacian Constrained
  Graphical Models?
Does the ℓ1\ell_1ℓ1​-norm Learn a Sparse Graph under Laplacian Constrained Graphical Models?
Jiaxi Ying
J. Cardoso
Daniel P. Palomar
57
10
0
26 Jun 2020
Review and Prospect: Deep Learning in Nuclear Magnetic Resonance
  Spectroscopy
Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy
Dicheng Chen
Zi Wang
D. Guo
V. Orekhov
X. Qu
66
108
0
13 Jan 2020
Nonconvex Low-Rank Tensor Completion from Noisy Data
Nonconvex Low-Rank Tensor Completion from Noisy Data
Changxiao Cai
Gen Li
H. Vincent Poor
Yuxin Chen
148
82
0
11 Nov 2019
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to
  Machine Learning
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning
M. Jacob
M. Mani
J. C. Ye
108
52
0
27 Oct 2019
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
X. Qu
Yihui Huang
Hengfa Lu
Tianyu Qiu
D. Guo
Tatiana Agback
V. Orekhov
Zhong Chen
53
148
0
09 Apr 2019
Tensor Completion Algorithms in Big Data Analytics
Tensor Completion Algorithms in Big Data Analytics
Qingquan Song
Hancheng Ge
James Caverlee
Helen Zhou
100
230
0
28 Nov 2017
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