5 papers
Efficient Tensor Contraction via Fast Count Sketch
Xingyu Cao, Jiani Liu
Sketching uses randomized Hash functions for dimensionality reduction and acceleration. The existing sketching methods, such as count sketch (CS), tensor sketch (TS), and higher-or…
Hyperspectral Image Denoising with Partially Orthogonal Matrix Vector Tensor Factorization
Zhen Long, Yipeng Liu, Sixing Zeng +3
Hyperspectral image (HSI) has some advantages over natural image for various applications due to the extra spectral information. During the acquisition, it is often contaminated by…
Bayesian Low Rank Tensor Ring Model for Image Completion
Zhen Long, Ce Zhu, Jiani Liu +1
Low rank tensor ring model is powerful for image completion which recovers missing entries in data acquisition and transformation. The recently proposed tensor ring (TR) based comp…
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing
Zhonghao Zhang, Yipeng Liu, Jiani Liu +2
Most compressive sensing (CS) reconstruction methods can be divided into two categories, i.e. model-based methods and classical deep network methods. By unfolding the iterative opt…
Provable Tensor Ring Completion
Huyan Huang, Yipeng Liu, Ce Zhu
Tensor completion recovers a multi-dimensional array from a limited number of measurements. Using the recently proposed tensor ring (TR) decomposition, in this paper we show that a…