Code

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1. Software and Toolboxes
   • A library of ADMM for sparse and low-rank optimization
   • Tensor-tensor product toolbox
   • A library of proximal operators
2. Low-rank Tensor Recovery via Convex Tensor Nuclear Norm Minimization
   • Tensor robust principal component analysis
   • Low tubal tensor completion
   • Low tubal rank tensor recovery from Gaussian measurements
3. Nonconvex Nonsmooth Low-rank Minimization
   • Iteratively reweighted nuclear norm for nonconvex nonsmooth low-rank minimization
   • Generalized singular value thresholding
4. Subspace Clustering by Least Square Regression
5. Face Recognition via Sparse Representation
   • Face recognition via weighted sparse representation
   • Optimized projections for sparse representation based classification