no code implementations • 5 May 2022 • Gaohang Yu, Shaochun Wan, Liqun Qi, Yanwei Xu
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.
no code implementations • 18 Oct 2021 • Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu
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).
no code implementations • 5 Feb 2021 • Zhenyu Ming, Liping Zhang, Hao Wu, Yanwei Xu, Mayank Bakshi, Bo Bai, Gong Zhang
Our model can be divided into a series of subproblems, which only relate to the traffics in a certain individual time interval.
Optimization and Control
no code implementations • 1 Oct 2020 • Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu
Our model possesses a sparse regularization term to promote a sparse core tensor of the Tucker decomposition, which is beneficial for tensor data compression.