Results 21 to 30 of about 96,220 (224)
Tensor Completion via Smooth Rank Function Low-Rank Approximate Regularization
Remote Sensing, 2023 In recent years, the tensor completion algorithm has played a vital part in the reconstruction of missing elements within high-dimensional remote sensing image data.
Shicheng Yu +5 more
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Higher level affine Schur and Hecke algebras [PDF]
, 2018 We define a higher level version of the affine Hecke algebra and prove that, after completion, this algebra is isomorphic to a completion of Webster's tensor product algebra of type A.
Maksimau, Ruslan, Stroppel, Catharina
core +4 more sources
Accelerated non-negative tensor completion via integer programming
Frontiers in Applied Mathematics and Statistics, 2023 The problem of tensor completion has applications in healthcare, computer vision, and other domains. However, past approaches to tensor completion have faced a tension in that they either have polynomial-time computation but require exponentially more ...
Wenhao Pan +3 more
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Traffic Flow Prediction With Missing Data Imputed by Tensor Completion Methods
IEEE Access, 2020 Missing data is inevitable and ubiquitous in intelligent transportation systems (ITSs). A handful of completion methods have been proposed, among which the tensor-based models have been shown to be the most advantageous for missing traffic data ...
Qin Li +4 more
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Rank revealing‐based tensor completion using improved generalized tensor multi‐rank minimization
IET Signal Processing, 2021 The authors address the problem of tensor completion from limited samplings. An improved generalized tubal Kronecker decomposition is first proposed to reveal the tensor structure of the targeted data, and the improved generalized tensor tubal‐rank and ...
Wei Z. Sun, Peng Zhang, Bo Zhao
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe task of hyperspectral image completion generally involves random missing entries completion, stripes inpainting, and cloud removal, which can enhance the accuracy of subsequent image analysis.
Yao Li, Yujie Zhang, Hongwei Li
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Multi-Feature Tensor Neighborhood Preserving Embedding for 3D Facial Expression Recognition
IEEE Access, 2021 To investigate an effective representation model for 3D facial expression recognition, this paper proposes a multi-feature tensor neighborhood preserving embedding (MFTNPE) method, which seeks various attribute features from raw textured shape scan ...
Yajie Jiang, Qiuqi Ruan
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Efficient tensor completion for color image and video recovery: Low-rank tensor train
, 2016 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 from tensors thanks to its ...
Bengua, Johann A. +3 more
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Accelerated Low-Rank Tensor Completion via Projected Tensor Block Coordinate Descent
IEEE AccessThe low-rank tensor completion problem aims to find a low-rank approximation of a tensor by filling in missing entries from partially observed entries to enhance the accuracy of the tensor data analysis.
Geunseop Lee
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Rail transit OD‐matrix completion via manifold regularized tensor factorisation
IET Intelligent Transport Systems, 2021 Urban rail transit has become an indispensable mode in major cities worldwide regarding the advantages of large capacity, high speed, punctuality, and environmental protection.
Hanxuan Dong +5 more
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