Low-rank_Matrix-completion
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Published
20 hours ago •
ImKeTT
ImKeTT
[Tool] Low rank matrix recovery by minimizing matrix norm
Low Rank Matrix Completion
Introduction
Implementations of algorithms in this repository will focus on completing low rank matrixes . Including traditional matrix trace and nuclear norm minimization as well as some algorithms related to the popular differentiable programming. They are all implemented in python or MATLAB.
Algorithms
- SVT (A Singular Value Thresholding Algorithm for Matrix Completion)
- Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization(find the paper here)
- Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
- ...
Dataset
- ml-1M from MovieLens
- ml-100k from MovieLens
- Netflix Dataset from Netflix
More to be continued...
ImKeTT