L. Qi, H. Chen, and Y. Chen, Tensor Eigenvalues and Their Applications, 2018.

T. G. Kolda and B. W. Bader, Tensor decompositions and applications, SIAM Rev, vol.51, issue.3, pp.455-500, 2009.

N. D. Sidiropoulos, L. D. Lathauwer, X. Fu, K. Huang, E. E. Papalexakis et al., Tensor decomposition for signal processing and machine learning, IEEE Trans. Signal Process, vol.65, issue.13, pp.3551-3582, 2017.

L. Sorber, M. V. Barel, and L. D. Lathauwer, Unconstrained optimization of real functions in complex variables, SIAM J. Optim, vol.22, issue.3, pp.879-898, 2012.

E. Acar, D. M. Dunlavy, and T. G. Kolda, A scalable optimization approach for fitting canonical tensor decompositions, J. Chemometrics, vol.25, issue.2, pp.67-86, 2011.

E. Sanchez and B. R. Kowalski, Tensorial resolution: A direct trilinear decomposition, J. Chemometrics, vol.4, issue.1, pp.29-45, 1990.

P. Comon, G. Golub, L. Lim, and B. Mourrain, Symmetric tensors and symmetric tensor rank, SIAM J. Matrix Anal. Appl, vol.30, issue.3, pp.1254-1279, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00327599

C. J. Hillar and L. Lim, Most tensor problems are NP-hard, J. ACM, vol.60, issue.6, pp.1-39, 2013.

B. Recht, M. Fazel, and P. A. Parrilo, Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization, SIAM Rev, vol.52, issue.3, pp.471-501, 2010.

Q. Zhao, G. Zhou, L. Zhang, A. Cichocki, and S. Amari, Bayesian robust tensor factorization for incomplete multiway data, IEEE Trans. Neural Netw. Learn. Syst, vol.27, issue.4, pp.736-748, 2016.

A. Anandkumar, R. Ge, D. Hsu, S. M. Kakade, and M. Telgarsky, Tensor decompositions for learning latent variable models, J. Mach. Learn. Res, vol.15, pp.2773-2832, 2014.

A. Bernardi, A. Gimigliano, and M. Idà, Computing symmetric rank for symmetric tensors, J. Symbolic Computat, vol.46, issue.1, pp.34-53, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00645973

Y. Shitov, A counterexample to comon's conjecture, SIAM J. Appl. Algebr. Geom, vol.2, issue.3, pp.428-443, 2018.

G. Tang and P. Shah, Guaranteed tensor decomposition: A moment approach, Proc. Int. Conf. Mach. Learn., ser. Proceedings of Machine Learning, vol.37, pp.1491-1500, 2015.

J. Nie, Generating polynomials and symmetric tensor decompositions, Found. Comput. Math, vol.17, issue.2, pp.423-465, 2015.

M. G. Krein and A. A. , Nudel'man, The Markov Moment Problem And Extremal Problems, 1977.

R. E. Curto and L. A. Fialkow, Solution of the truncated complex moment problem for flat data, Mem. Amer. Math. Soc, vol.119, issue.568, pp.0-0, 1996.

N. Vervliet, O. Debals, L. Sorber, M. V. Barel, and L. De-lathauwer, Tensorlab 3.0. Available online, 2016.

P. Comon, Handbook of Blind Source Separation: Independent Component Analysis and Applications, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00460653