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xuezc / LRSD-TNNSR

This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a Sparse Regularizer"

Home Page:https://doi.org/10.1007/s00371-018-1555-1

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LRSD-TNNSR

This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a Sparse Regularizer". https://doi.org/10.1007/s00371-018-1555-1

The folder "LRSD-TNNSR" contains the codes for the following three sub-folders:-

  1. synthetic data: contains the experiments of the synthetic data, you can run "demo.m" to achieve the result of an example.

  2. face image shadow removal: contains the experiments of the face image shadow removal, you can run "demo.m" to achieve the result of an example.

  3. video background subtraction: contains the experiments of the video background subtraction, you can run "demo.m" to achieve the result of an example.

References: Xue, Z., Dong, J., Zhao, Y. et al. Vis Comput (2018). https://doi.org/10.1007/s00371-018-1555-1

If you have any questions or comments regarding this package, or if you want to report any bugs or unexpected error messages, please send an e-mail to xuezhichao@njtech.edu.cn.

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This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a Sparse Regularizer"

https://doi.org/10.1007/s00371-018-1555-1

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