M. A. Vasilescu and D. , Terzopulos : Multilinear projection for appearance-based recognition in the tensor framework, IEEE ICCV, 2007.

M. A. Vasilescu and D. , Terzopoulos : Multilinear independent component analysis, IEEE CVPR'05, 2005.

S. Yan, D. Xu, Q. Yang, L. Zhang, X. Tang et al., Multilinear Discriminant Analysis for Face Recognition, IEEE Transactions on Image Processing, vol.16, issue.1, pp.212-220, 2007.
DOI : 10.1109/TIP.2006.884929

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.9207

B. Savas and L. Elden, Handwritten digit classification using higher order singular value decomposition, Pattern recognition 40, pp.993-1003, 2007.
DOI : 10.1016/j.patcog.2006.08.004

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.575

H. Lu, K. N. Plataniotis, and A. N. , Venetsanopoulos : MPCA -Multilinear principal component analysis of tensor objects, IEEE Tr. on Neural Networks, vol.19, issue.1, pp.18-39, 2008.

D. Tao, X. Li, X. Wu, and S. J. Maybank, General Tensor Discriminant Analysis and Gabor Features for Gait Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.10, pp.10-10, 2007.
DOI : 10.1109/TPAMI.2007.1096

URL : https://opus.lib.uts.edu.au/bitstream/10453/15162/1/2011000293OK.pdf

L. De-lathauwer, B. De-moor, and J. , A Multilinear Singular Value Decomposition, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.4, pp.1253-1278, 2000.
DOI : 10.1137/S0895479896305696

G. Favier and A. , Kibangou : Tensor-based methods for system identification, 2008.

T. Porgès, J. Y. Delabbaye, C. Enderli, and G. , Favier : Probability distribution mixture model for detection of targets in highresolution SAR images, 2009.