Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1604.02100
Cited By
v1
v2 (latest)
Hankel Matrix Nuclear Norm Regularized Tensor Completion for
N
N
N
-dimensional Exponential Signals
6 April 2016
Jiaxi Ying
Hengfa Lu
Qingtao Wei
Jian-Feng Cai
D. Guo
Jihui Wu
Zhong Chen
X. Qu
Re-assign community
ArXiv (abs)
PDF
HTML
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
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
Jiaxi Ying
Xi Han
Rui Zhou
Xiwen Wang
H. C. So
56
2
0
02 Sep 2023
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
Chongcan Li
Yong Cong
Weihua Deng
15
0
0
25 Jul 2021
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
José Vinícius de Miranda Cardoso
Jiaxi Ying
Daniel P. Palomar
CML
AIFin
124
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
147
35
0
29 Dec 2020
Does the
ℓ
1
\ell_1
ℓ
1
-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
Dicheng Chen
Zi Wang
D. Guo
V. Orekhov
X. Qu
66
108
0
13 Jan 2020
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
M. Jacob
M. Mani
J. C. Ye
108
52
0
27 Oct 2019
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
Qingquan Song
Hancheng Ge
James Caverlee
Helen Zhou
100
230
0
28 Nov 2017
1