Multi-dimensional image recovery via fully-connected tensor network decomposition under the learnable transforms
Multi-dimensional image recovery from incomplete data is a fundamental problem in data
processing. Due to its advantage of capturing the correlations between any modes of the …
processing. Due to its advantage of capturing the correlations between any modes of the …
Robust tensor decomposition via orientation invariant tubal nuclear norms
Aiming at recovering an unknown tensor (ie, multi-way array) corrupted by both sparse
outliers and dense noises, robust tensor decomposition (RTD) serves as a powerful pre …
outliers and dense noises, robust tensor decomposition (RTD) serves as a powerful pre …
Structured Low-Rank Tensor Completion for IoT Spatiotemporal High-resolution Sensing Data Reconstruction
X Zhang, J He, XA Pan, Y Chi… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Due to various restrictions, some Internet of Things (IoT) sensing layers can only deploy a
small number of sensor nodes for spatiotemporal low-resolution environmental information …
small number of sensor nodes for spatiotemporal low-resolution environmental information …
Low-rank tensor data reconstruction and denoising via admm: Algorithm and convergence analysis
J Popa, Y Lou, SE Minkoff - Journal of Scientific Computing, 2023 - Springer
Seismic data is contaminated by noise due to a variety of factors including wind, ocean
currents, vehicular traffic, and construction. Further receiver malfunction and limitations in …
currents, vehicular traffic, and construction. Further receiver malfunction and limitations in …
Editorial to Special Issue “Remote Sensing Image Denoising, Restoration and Reconstruction”
The motivations behind this Special Issue, announced in 18 August 2020, were the
following. Despite great advances in technology, during image acquisition processes …
following. Despite great advances in technology, during image acquisition processes …
[PDF][PDF] Seismic Data Reconstruction With Low-rank Tensor Optimization
J Popa - 2022 - utd-ir.tdl.org
Seismic data recorded in the field often has gaps due to missing or failed receivers or
aperture restrictions and may be contaminated by external noise. Reconstruction is the …
aperture restrictions and may be contaminated by external noise. Reconstruction is the …