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11/27/2022
Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration
Efficient and accurate low-rank approximation (LRA) methods are of great...
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10/07/2022
Latent Matrices for Tensor Network Decomposition and to Tensor Completion
The prevalent fully-connected tensor network (FCTN) has achieved excelle...
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04/04/2022
A high-order tensor completion algorithm based on Fully-Connected Tensor Network weighted optimization
Tensor completion aimes at recovering missing data, and it is one of the...
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09/06/2021
Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation
For the high dimensional data representation, nonnegative tensor ring (N...
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12/02/2020
Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data
Since many real-world data can be described from multiple views, multi-v...
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10/14/2019