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09/15/2023
Low-rank Tensor Train Decomposition Using TensorSketch
Tensor train decomposition is one of the most powerful approaches for pr...
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08/03/2023
A Randomized Block Krylov Method for Tensor Train Approximation
Tensor train decomposition is a powerful tool for dealing with high-dime...
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01/27/2023
Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors
Low-rank approximation of tensors has been widely used in high-dimension...
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05/05/2022
Multi-mode Tensor Train Factorization with Spatial-spectral Regularization for Remote Sensing Images Recovery
Tensor train (TT) factorization and corresponding TT rank, which can wel...
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03/01/2021
T-Singular Values and T-Sketching for Third Order Tensors
Based upon the T-SVD (tensor SVD) of third order tensors, introduced by ...
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05/20/2020
A Parallelizable Method for Missing Internet Traffic Tensor Data
Recovery of internet network traffic data from incomplete observed data ...
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05/20/2020