9 citations · 16 across the 12 of their papers we have counts for
4 papers · 1 filter
Hyperspectral Anomaly Detection via Group Sparse Low-Rank Tensor Factorization With Automatic Anomaly Grouping
Quan Yu, Yu-Hong Dai, Xiongjun Zhang
Low-rank tensor modeling has become an effective tool for hyperspectral anomaly detection. However, existing methods still suffer from high computational cost and limited flexibili…
Tensor Factorization via Transformed Tensor-Tensor Product for Image Alignment
Sijia Xia, Duo Qiu, Xiongjun Zhang
In this paper, we study the problem of a batch of linearly correlated image alignment, where the observed images are deformed by some unknown domain transformations, and corrupted…
Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion
Ben-Zheng Li, Xi-Le Zhao, Teng-Yu Ji +2
The linear transform-based tensor nuclear norm (TNN) methods have recently obtained promising results for tensor completion. The main idea of this type of methods is exploiting the…
Tensor Completion via Convolutional Sparse Coding Regularization
Zhebin Wu, Tianchi Liao, Chuan Chen +3
Tensor data often suffer from missing value problem due to the complex high-dimensional structure while acquiring them. To complete the missing information, lots of Low-Rank Tensor…