312 citations · 1.6k across the 26 of their papers we have counts for
6 papers · 1 filter
Generalized Singular Value Thresholding
Canyi Lu, Changbo Zhu, Chunyan Xu +2
This work studies the Generalized Singular Value Thresholding (GSVT) operator , \begin{equation*} {\text{Prox}}_{g}^{σ}(B)=\arg\min\limits_{X}\sum_{i=…
Generalized Nonconvex Nonsmooth Low-Rank Minimization
Canyi Lu, Jinhui Tang, Shuicheng Yan +1
As surrogate functions of -norm, many nonconvex penalty functions have been proposed to enhance the sparse vector recovery. It is easy to extend these nonconvex penalty functi…
Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization
Canyi Lu, Yunchao Wei, Zhouchen Lin +1
This paper proposes the Proximal Iteratively REweighted (PIRE) algorithm for solving a general problem, which involves a large body of nonconvex sparse and structured sparse relate…
Robust and Efficient Subspace Segmentation via Least Squares Regression
Can-Yi Lu, Hai Min, Zhong-Qiu Zhao +3
This paper studies the subspace segmentation problem which aims to segment data drawn from a union of multiple linear subspaces. Recent works by using sparse representation, low ra…
Robust Face Recognition via Adaptive Sparse Representation
Jing Wang, Canyi Lu, Meng Wang +3
Sparse Representation (or coding) based Classification (SRC) has gained great success in face recognition in recent years. However, SRC emphasizes the sparsity too much and overloo…
Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization
Canyi Lu, Zhouchen Lin, Shuicheng Yan
This work presents a general framework for solving the low rank and/or sparse matrix minimization problems, which may involve multiple non-smooth terms. The Iteratively Reweighted…