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Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code

MATLAB 80.58% M 0.44% C 11.79% C++ 2.49% Mercury 0.05% Fortran 4.66%

fancl's Introduction

FaNCL

Matlab code for:

  1. Q.Yao, J.T.Kwok, W.Zhong. Fast Low-Rank Matrix Learning with Nonconvex Regularization. IEEE International Conference on Data Mining (ICDM), Atlantic City, NJ, USA, Nov 2015

  2. Q. Yao, J. Kwok, T. Wang, T. Liu. Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2018

The code is verified with Matlab 2015a + windows 8.1 64bit + Visual Studio 2012. If wrong with mex files, please re-complie .c files with your local compiler in Matlab.

If any bug is found, feel free to contact the author, contact information can be found at: http://www.cse.ust.hk/~qyaoaa/

fancl's People

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