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Found 5 papers, 1 papers with code
Multi-mode Tensor Train Factorization with Spatial-spectral Regularization for Remote Sensing Images Recovery
Tensor train (TT) factorization and corresponding TT rank, which can well express the low-rankness and mode correlations of higher-order tensors, have attracted much attention in recent years.
"Sparse + Low-Rank'' Tensor Completion Approach for Recovering Images and Videos
By the multi-dimensional nature of color images and videos, in this paper, we propose a novel tensor completion approach, which is able to efficiently explore the sparsity of tensor data under the discrete cosine transform (DCT).
T-Quadratic Forms and Spectral Analysis of T-Symmetric Tensors
An $n \times n \times p$ tensor is called a T-square tensor.
Spectral Theory
Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion
Our model possesses a sparse regularization term to promote a sparse core tensor of the Tucker decomposition, which is beneficial for tensor data compression.
Formulating an $n$-person noncooperative game as a tensor complementarity problem
In this paper, we consider a class of $n$-person noncooperative games, where the utility function of every player is given by a homogeneous polynomial defined by the payoff tensor of that player, which is a natural extension of the bimatrix game where the utility function of every player is given by a quadratic form defined by the payoff matrix of that player.
Optimization and Control
