Pinned Repositories
Block-Diagonal-Representation-for-Subspace-Clustering
Subspace Clustering by Block Diagonal Representation
Iteratively-Reweighted-Nuclear-Norm-Minimization
Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization
Least-Squares-Regression-for-subspace-clustering
Least Squares Regression for subspace clustering
LibADMM-toolbox
A Library of ADMM for Sparse and Low-rank Optimization
Projection-onto-the-capped-simplex
Projection onto the capped simplex
tensor-completion-tensor-recovery
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
Tensor-Robust-Principal-Component-Analysis-TRPCA
Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
Tensor-tensor-product-toolbox
tensor-tensor product toolbox
Weighted-Sparse-Representation-based-Classification
Weighted Sparse Representation based Classification for Face Recognition
canyilu's Repositories
canyilu/LibADMM-toolbox
A Library of ADMM for Sparse and Low-rank Optimization
canyilu/Tensor-Robust-Principal-Component-Analysis-TRPCA
Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
canyilu/Tensor-tensor-product-toolbox
tensor-tensor product toolbox
canyilu/Iteratively-Reweighted-Nuclear-Norm-Minimization
Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization
canyilu/tensor-completion-tensor-recovery
tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization
canyilu/Tensor-robust-PCA-and-tensor-completion-under-linear-transform
Tensor robust PCA (TRPCA) and tensor completion based on tensor nuclear norm under linear transform
canyilu/Block-Diagonal-Representation-for-Subspace-Clustering
Subspace Clustering by Block Diagonal Representation
canyilu/Least-Squares-Regression-for-subspace-clustering
Least Squares Regression for subspace clustering
canyilu/Weighted-Sparse-Representation-based-Classification
Weighted Sparse Representation based Classification for Face Recognition
canyilu/Projection-onto-the-capped-simplex
Projection onto the capped simplex
canyilu/Smoothed-Low-Rank-Representation
Smoothed LRR by Iteratively Reweighted Least Squares Minimization
canyilu/canyilu.github.io
Homepage
canyilu/BlockCoordinateDescent
Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
canyilu/filecopy
python file copy tool with pause button.
canyilu/OP-SRC
Optimized Projections for Sparse Representation based Classification