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05/24/2023
SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search
Tensor network (TN) representation is a powerful technique for data anal...
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05/08/2022
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing
The block-term tensor decomposition model with multilinear rank-(L_r,L_r...
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03/20/2022
Nonstationary Temporal Matrix Factorization for Multivariate Time Series Forecasting
Modern time series datasets are often high-dimensional, incomplete/spars...
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10/17/2021
Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion
The linear transform-based tensor nuclear norm (TNN) methods have recent...
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10/17/2021
Fully-Connected Tensor Network Decomposition for Robust Tensor Completion Problem
The robust tensor completion (RTC) problem, which aims to reconstruct a ...
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09/13/2021
Nonlocal Patch-Based Fully-Connected Tensor Network Decomposition for Remote Sensing Image Inpainting
Remote sensing image (RSI) inpainting plays an important role in real ap...
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05/29/2021
Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
In this paper, we study multi-dimensional image recovery. Recently, tran...
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02/24/2021
Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors
Image denoising is often empowered by accurate prior information. In rec...
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08/22/2020
Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior
Hyperspectral images (HSIs) are unavoidably corrupted by mixed noise whi...
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05/18/2020
Fast second-order implicit difference schemes for time distributed-order and Riesz space fractional diffusion-wave equations
In this paper, fast numerical methods are established for solving a clas...
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05/14/2020
Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence
In recent studies, the tensor ring (TR) rank has shown high effectivenes...
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04/29/2020
Tensor train rank minimization with nonlocal self-similarity for tensor completion
The tensor train (TT) rank has received increasing attention in tensor c...
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03/16/2020
A note on parallel preconditioning for the all-at-once solution of Riesz fractional diffusion equations
The p-step backwards difference formula (BDF) for solving the system of ...
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09/16/2019
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion
The main aim of this paper is to develop a framelet representation of th...
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05/15/2019
Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections
In this paper, we propose a novel low-tubal-rank tensor recovery model, ...
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05/11/2019
Deep Plug-and-play Prior for Low-rank Tensor Completion
Tensor image data sets such as color images and multispectral images are...
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02/08/2019
A Fast Algorithm for Cosine Transform Based Tensor Singular Value Decomposition
Recently, there has been a lot of research into tensor singular value de...
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12/03/2018
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery
As low-rank modeling has achieved great success in tensor recovery, many...
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08/26/2018
Rain Streak Removal for Single Image via Kernel Guided CNN
Rain streak removal is an important issue and has recently been investig...
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03/20/2018
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors
Rain streak removal is an important issue in outdoor vision systems and ...
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12/15/2017
A novel nonconvex approach to recover the low-tubal-rank tensor data: when t-SVD meets PSSV
In this paper we fix attention on a recently developed tensor decomposit...
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07/08/2017