7 citations · 14 across the 5 of their papers we have counts for
Showing 2020Show all
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cs.CV2020★ 3 cited
Low-Rank Matrix Recovery from Noise via an MDL Framework-based Atomic Norm
Anyong Qin, Lina Xian, Yongliang Yang +2
The recovery of the underlying low-rank structure of clean data corrupted with sparse noise/outliers is attracting increasing interest. However, in many low-level vision problems,…
cs.CV2020
Learning a Deep Part-based Representation by Preserving Data Distribution
Anyong Qin, Zhaowei Shang, Zhuolin Tan +2
Unsupervised dimensionality reduction is one of the commonly used techniques in the field of high dimensional data recognition problems. The deep autoencoder network which constrai…