[1] A. Cichocki, D. Mandic, L. De Lathauwer, G. Zhou, Q. Zhao, C. Caiafa and H. A. Phan, Tensor decompositions for signal processing applications: From two-way to multi-way component analysis, IEEE Signal Process. Mag. 32 (2015), no. 2, 145—163.

[2] E.J. Candes and B. Recht, Exact matrix completion via convex optimization, Commun. ACM 55 (2012), no. 6, 111–119.

[3] T. Kolda and B. Bader. Tensor decompositions and applications, SIAM Rev. 51 (2009), no. 3, 455-–500.

[4] M. Kurucz, A. Benczur and K. Csalogany, Methods for large scale svd with missing values, Proc. KDD Cup Workshop, San Jos´e, USA: Citeseer, 2007, vol. 12.

[5] J. Liu, P. Musialski , P. Wonka, and Ye J., Tensor completion for estimating missing values in visual data, IEEE Trans. Pattern Anal. Machine Intel. 35 (2012), no. 1, 208–220.

[6] R. Orus, A practical introduction to tensor networks: Matrix product states and projected entangled pair states, Ann. Phys. 349 (2014), 117—158.

[7] I. V. Oseledets. Tensor train decomposition, SIAM J. Sci. Comput. 33 (2011), no. 5, 2295-–23171.

[8] L. Qi, The spectral theory of tensors, In textitarXiv: 1201.3424v1 (2012).

[9] Q. Song, H. Ge, J. Caverlee and X. Hu, Tensor completion algorithms in big data analytics, ACM Trans. Knowledge Disc. Data, 6 (2019), no. 13, 1—48.

[10] W. Wang, V. Aggrawal and S. Aeron, Efficient low rank tensor ring completion, IEEE Int. Conf. Comput. Vision (ICCV), 2017, pp. 5697–5705.

[11] Q. Zhao, G. Zhou, S. Xie, L. Zhang and A. Cichocki, Tensor ring decomposition, arXiv preprint arXiv:1606.05535 (2016).