The Tensor Completion Functor in Categories of Exponential MR-Groups
Sign Up to like & getrecommendations! Published in 2018 at "Algebra and Logic"
DOI: 10.1007/s10469-018-9482-9
Abstract: The notion of an exponential R-group, where R is an arbitrary associative ring with unity, was introduced by R. Lyndon. A. G. Myasnikov and V. N. Remeslennikov refined this notion by adding an extra axiom.… read more here.
Keywords: tensor completion; notion; exponential groups; functor categories ... See more keywords
A non-convex tensor rank approximation for tensor completion
Sign Up to like & getrecommendations! Published in 2017 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2017.04.002
Abstract: Abstract Low-rankness has been widely exploited for the tensor completion problem. Recent advances have suggested that the tensor nuclear norm often leads to a promising approximation for the tensor rank. It treats the singular values… read more here.
Keywords: tensor rank; tensor completion; tensor; approximation tensor ... See more keywords
A Multi-Attention Tensor Completion Network for Spatiotemporal Traffic Data Imputation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3171780
Abstract: The widespread deployment of road sensors in the Internet of Things (IoT) allows for fine-grained data integration, which is a fundamental demand for data-driven applications. Sensing data with inevitable missing and substantial anomalies are unavoidable,… read more here.
Keywords: network; completion; tensor completion; traffic ... See more keywords
Broadband Sound Source Localisation via Non-Synchronous Measurements for Service Robots: A Tensor Completion Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3212665
Abstract: Constraint by the physical geometry, the lower and upper frequency bound and the scale of the scanning area of a microphone array are limited. Owing to its movable feature, for the service robots, achieving a… read more here.
Keywords: synchronous measurements; sound source; tensor completion; non synchronous ... See more keywords
Tensor Completion Via Collaborative Sparse and Low-Rank Transforms
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2021.3126232
Abstract: The transform-based tensor nuclear norm (TNN) methods have recently yielded promising results for tensor completion. The primary goal of these methods is to exploit the low-rank structure of frontal slices under the transform along the… read more here.
Keywords: low rank; tensor completion; third mode; sparse ... See more keywords
A Fast Tensor Completion Method Based on Tensor QR Decomposition and Tensor Nuclear Norm Minimization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2021.3130977
Abstract: Currently, the tensor completion problem has been paid high attention in the machine learning, especially in the field of computer vision and image processing. The low-rank tensor completion methods based on the tensor singular value… read more here.
Keywords: completion; tensor completion; based tensor; nuclear norm ... See more keywords
Efficient Tensor Completion Methods for 5-D Seismic Data Reconstruction: Low-Rank Tensor Train and Tensor Ring
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3179275
Abstract: Five-dimensional seismic reconstruction is receiving increasing attention and can be viewed as a tensor completion problem, which involves reconstructing a low-rank tensor from a partially observed tensor. Tensor train (TT) decomposition and tensor ring (TR)… read more here.
Keywords: rank tensor; tensor; low rank; tensor completion ... See more keywords
Enhanced CFRP Defect Detection From Highly Undersampled Thermographic Data via Low-Rank Tensor Completion-Based Thermography
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3154786
Abstract: In this article, we present a smooth low-rank tensor completion (SLRTC) based reconstruction algorithm to recover raw thermal image sequences from highly randomly undersampled or small numbers of available thermographic data. The presented algorithm is… read more here.
Keywords: rank tensor; thermographic data; low rank; algorithm ... See more keywords
Efficient Tensor Completion for Color Image and Video Recovery: Low-Rank Tensor Train
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2672439
Abstract: This paper proposes a novel approach to tensor completion, which recovers missing entries of data represented by tensors. The approach is based on the tensor train (TT) rank, which is able to capture hidden information… read more here.
Keywords: tensor completion; image; tensor; rank tensor ... See more keywords
Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2995061
Abstract: We propose a new tensor completion method based on tensor trains. The to-be-completed tensor is modeled as a low-rank tensor train, where we use the known tensor entries and their coordinates to update the tensor… read more here.
Keywords: tensor; completion; tensor completion; tensor train ... See more keywords
Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3201708
Abstract: The major challenge in high dynamic range (HDR) imaging for dynamic scenes is suppressing ghosting artifacts caused by large object motions or poor exposures. Whereas recent deep learning-based approaches have shown significant synthesis performance, interpretation… read more here.
Keywords: dynamic range; rank tensor; low rank; tensor completion ... See more keywords