canyilu/Smoothed-Low-Rank-Representation

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MATLAB
Created over 6 years ago
Updated over 6 years ago

canyilu/Smoothed-Low-Rank-Representation

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Smoothed LRR by Iteratively Reweighted Least Squares Minimization

LibADMM-toolbox

A Library of ADMM for Sparse and Low-rank Optimization

Tensor-Robust-Principal-Component-Analysis-TRPCA

Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm

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Iteratively-Reweighted-Nuclear-Norm-Minimization

Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization

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tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization

Tensor-robust-PCA-and-tensor-completion-under-linear-transform

Tensor robust PCA (TRPCA) and tensor completion based on tensor nuclear norm under linear transform

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Subspace Clustering by Block Diagonal Representation

Least-Squares-Regression-for-subspace-clustering

Least Squares Regression for subspace clustering

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Weighted Sparse Representation based Classification for Face Recognition

Projection-onto-the-capped-simplex

Projection onto the capped simplex