4 citations · 9 across the 7 of their papers we have counts for
8 papers
High-Performance Privacy-Preserving Matrix Completion for Trajectory Recovery
Jiahao Guo, An-Bao Xu
Matrix completion has important applications in trajectory recovery and mobile social networks. However, sending raw data containing personal, sensitive information to cloud comput…
Infrared Small Target Detection via tensor norm minimization and ASSTV regularization: A Novel Tensor Recovery Approach
Jiqian Zhao, An-Bao Xu
In recent years, there has been a noteworthy focus on infrared small target detection, given its vital importance in processing signals from infrared remote sensing. The considerab…
Tensor Completion via Leverage Sampling and Tensor QR Decomposition for Network Latency Estimation
Jun Lei, Ji-Qian Zhao, Jing-Qi Wang +1
In this paper, we consider the network latency estimation, which has been an important metric for network performance. However, a large scale of network latency estimation requires…
A randomized algorithm for the QR decomposition-based approximate SVD
Xiaohui Ni, An-Bao Xu
Matrix decomposition is a very important mathematical tool in numerical linear algebra for data processing. In this paper, we introduce a new randomized matrix decomposition algori…
Iterative optimal solutions of linear matrix equations for Hyperspectral and Multispectral image fusing
Frank Uhlig, An-Bao Xu
For a linear matrix function in we consider inhomogeneous linear matrix equations for that have or do not have solutions. For such…
A Biased Deep Tensor Factorization Network For Tensor Completion
Qianxi Wu, An-Bao Xu
Tensor decomposition is a popular technique for tensor completion, However most of the existing methods are based on linear or shallow model, when the data tensor becomes large and…
Tensor Completion via Tensor QR Decomposition and -Norm Minimization
Yongming Zheng, An-Bao Xu
In this paper, we consider the tensor completion problem, which has many researchers in the machine learning particularly concerned. Our fast and precise method is built on extendi…
Tensor Completion via a Low-Rank Approximation Pursuit
An-Bao Xu
This paper considers the completion problem for a tensor (also referred to as a multidimensional array) from limited sampling. Our greedy method is based on extending the low-rank…