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01/07/2019
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction
Dimensionality reduction is an essential technique for multi-way large-s...
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09/07/2018
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion
In tensor completion tasks, the traditional low-rank tensor decompositio...
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07/03/2018
Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition
The problem of incomplete data is common in signal processing and machin...
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05/22/2018
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion
In low-rank tensor completion tasks, due to the underlying multiple larg...
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04/05/2018
High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format
In this paper, we propose a novel approach to recover the missing entrie...
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11/07/2017
High-order Tensor Completion for Data Recovery via Sparse Tensor-train Optimization
In this paper, we aim at the problem of tensor data completion. Tensor-t...
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09/08/2017
