SRPCA: Sparse Reverse of Principle Component Analysis for Fast Low-rank Matrix Completion

Supplementary material

Folders
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— datasets —> three datasets (natural image, multisensor data, and movie ratings) are available;
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— models —> two functions (SRPCA and fastSRPCA)
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— notebooks —> six notebooks available (three for each of the two models)
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— utils —> extra custom-defined python functions