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Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank
  Approximation

Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation

19 May 2023
Wenjin Qin
Hailin Wang
Feng Zhang
Weijun Ma
Jianjun Wang
Tingwen Huang
ArXivPDFHTML

Papers citing "Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation"

4 / 4 papers shown
Title
Randomized Algorithms for Scientific Computing (RASC)
Randomized Algorithms for Scientific Computing (RASC)
A. Buluç
T. Kolda
Stefan M. Wild
M. Anitescu
Anthony Degennaro
...
D. Vrabie
B. Wohlberg
Stephen J. Wright
Chao Yang
Peter Zwart
AI4CE
24
10
0
19 Apr 2021
Tensor Robust Principal Component Analysis with A New Tensor Nuclear
  Norm
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm
Canyi Lu
Jiashi Feng
Yudong Chen
W. Liu
Zhouchen Lin
Shuicheng Yan
49
731
0
10 Apr 2018
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
90
1,334
0
06 Jul 2016
Fast and Accurate Algorithms for Re-Weighted L1-Norm Minimization
Fast and Accurate Algorithms for Re-Weighted L1-Norm Minimization
M. Salman Asif
J. Romberg
42
97
0
03 Aug 2012
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