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Novel methods for multilinear data completion and de-noising based on tensor-SVD
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Novel methods for multilinear data completion and de-noising based on tensor-SVD

Zemin Zhang
G. Ely
Shuchin Aeron
Ning Hao
M. Kilmer
ArXiv (abs)PDFHTML

Papers citing "Novel methods for multilinear data completion and de-noising based on tensor-SVD"

5 / 5 papers shown
Title
MNT-TNN: Spatiotemporal Traffic Data Imputation via Compact Multimode Nonlinear Transform-based Tensor Nuclear Norm
MNT-TNN: Spatiotemporal Traffic Data Imputation via Compact Multimode Nonlinear Transform-based Tensor Nuclear Norm
Yihang Lu
Mahwish Yousaf
Xianwei Meng
Enhong Chen
107
0
0
29 Mar 2025
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA
Lanlan Feng
Ce Zhu
Yipeng Liu
Saiprasad Ravishankar
Longxiu Huang
93
0
0
20 Jan 2025
Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation
Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation
Bo Han
Yuheng Jia
Hui Liu
Junhui Hou
87
0
0
24 Oct 2024
Coseparable Nonnegative Tensor Factorization With T-CUR Decomposition
Coseparable Nonnegative Tensor Factorization With T-CUR Decomposition
Juefei Chen
Longxiu Huang
Yimin Wei
88
1
0
30 Jan 2024
Iterative Block Tensor Singular Value Thresholding for Extraction of Low Rank Component of Image Data
Iterative Block Tensor Singular Value Thresholding for Extraction of Low Rank Component of Image Data
Longxi Chen
Yipeng Liu
Ce Zhu
76
31
0
15 Jan 2017