no code implementations • 17 Sep 2020 • Anyong Qin, Lina Xian, Yong-Liang Yang, Taiping Zhang, Yuan Yan Tang
The recovery of the underlying low-rank structure of clean data corrupted with sparse noise/outliers is attracting increasing interest.
no code implementations • 17 Sep 2020 • Anyong Qin, Zhaowei Shang, Zhuolin Tan, Taiping Zhang, Yuan Yan Tang
Then one hopes to learn a new low dimensional representation which can preserve the intrinsic structure embedded in the original high dimensional data space perfectly.
no code implementations • 21 Dec 2018 • Chang Liu, Zhaowei Shang, Anyong Qin
To address this issue, here we propose a novel deep residual learning model that combines the dilated residual convolution and multi-scale convolution groups.