A novel regularized model for third-order tensor completion
Y Yang, L Han, Y Liu, J Zhu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Inspired by the accuracy and efficiency of the-norm of a matrix, which is closer to the original
rank minimization problem than nuclear norm minimization (NNM), we generalize the-norm …
rank minimization problem than nuclear norm minimization (NNM), we generalize the-norm …
Infrared small target detection based on non‐convex triple tensor factorisation
In the present infrared target detection system, simultaneously achieving both the target
detection performance, as well as, computing efficiency is considered as a big task. To …
detection performance, as well as, computing efficiency is considered as a big task. To …
A faster tensor robust PCA via tensor factorization
Many kinds of real-world multi-way signal, like color images, videos, etc., are represented in
tensor form and may often be corrupted by outliers. To recover an unknown signal tensor …
tensor form and may often be corrupted by outliers. To recover an unknown signal tensor …
Stable tensor principal component pursuit: Error bounds and efficient algorithms
W Fang, D Wei, R Zhang - Sensors, 2019 - mdpi.com
The rapid development of sensor technology gives rise to the emergence of huge amounts
of tensor (ie, multi-dimensional array) data. For various reasons such as sensor failures and …
of tensor (ie, multi-dimensional array) data. For various reasons such as sensor failures and …