A collection of tensor completion algorithms

This is an official implementation of S-LRTC, BS-TMac, SpBCD, EPT-BCD, MCP-BCD, and SCAD-BCD via Matlab R2016. The implementation is based on FaLRTC, TMac , and geomCG, we thanks the authors for sharing their code. One can quickly test these algorithms as follows.

Quickly test "S-LRTC"

S-LRTC is an implementation of "A Mixture of Nuclear Norm and Matrix Factorization for Tensor Completion", one can quickly test the algorithm by running

test_S_LRTC.m 

Quickly test "BS-TMac"

BS-TMac is an implementation of "Robust balancing scheme-based approach for tensor completion", one can quickly test the algorithm by running ```

test_BS_TMac.m

Quickly test "SpBCD"

SpBCD is an implementation of "Robust Schatten-p Norm Based Approach for Tensor Completion", one can quickly test the algorithm by running

test_SpBCD.m

Quickly test "EPT-BCD, MCP-BCD, and SCAD-BCD"

EPT-BCD, MCP-BCD, and SCAD-BCD is the implementation of "Robust approximations of low-rank minimization for tensor completion", one can quickly test the algorithms by running

test_EPT_MCP_SCAD.m

Related works

[1] Liu, J., Musialski, P., Wonka, P., Ye, J.P.: Tensor completion for estimating missing values in visual data. IEEE Trans. Pattern Anal. Mach. Intell. 35(1), 1126–1153 (2013) [link]

[2] Kressner, D., Steinlechner, M., Vandereycken, B.: Low-rank tensor completion by Riemannian optimization. BIT Numer. Math. 54(2), 447–468 (2014) [link]

[3] Xu, Y., Hao, R., Yin, W., Su, Z.: Parallel matrix factorization for low-rank tensor completion. Inverse Probl. Imaging 9(2), 601–624 (2015) [link]

Citation

If our works are useful in your research or publication, please cite the works:

[1] S. Gao and Q. Fan. A Mixture of Nuclear Norm and Matrix Factorization for Tensor Completion. J Sci Comput, 75:43–64, 2018. [link]

[2] S. Gao and Q. Fan. Robust balancing scheme-based approach for tensor completion. Neurocomputing, 330:328–336, 2019. [link]

[3] S. Gao and Q. Fan. Robust Schatten-p Norm Based Approach for Tensor Completion. J Sci Comput, 82:11, 2020. [link]

[4] S. Gao and X. Zhuang. Robust approximations of low-rank minimization for tensor completion. Neurocomputing, 379:319–333, 2020. [link]

Don't hesitate to contact us via [email protected], if you have any questions.