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Matrix Recovery with Implicitly Low-Rank Data
Xingyu Xie, Jianlong Wu, Guangcan Liu +1
In this paper, we study the problem of matrix recovery, which aims to restore a target matrix of authentic samples from grossly corrupted observations. Most of the existing methods…
Matrix Completion with Deterministic Sampling: Theories and Methods
Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan +1
In some significant applications such as data forecasting, the locations of missing entries cannot obey any non-degenerate distributions, questioning the validity of the prevalent…
Robust Subspace Clustering with Compressed Data
Guangcan Liu, Zhao Zhang, Qingshan Liu +1
Dimension reduction is widely regarded as an effective way for decreasing the computation, storage and communication loads of data-driven intelligent systems, leading to a growing…