R. A. Harshman, Foundation of PARAFAC procedure: Models and conditions for an 'explanatory' multi-mode factor analysis, UCLA working papers in Phonetics, issue.16, pp.1-84, 1970.

H. Becker, P. Comon, L. Albera, M. Haardt, and I. Merlet, Multiway space-time-wave-vector analysis for EEG source separation
DOI : 10.1016/j.sigpro.2011.10.014
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.652.3914

G. Tomasi and R. Bro, A comparison of algorithms for fitting the PARAFAC model, Computational Statistics & Data Analysis, vol.50, issue.7, pp.1700-1734, 2006.
DOI : 10.1016/j.csda.2004.11.013

J. Carroll and J. Chang, Analysis of individual differences in multidimensional scaling via an n-way generalization of ???Eckart-Young??? decomposition, Psychometrika, vol.12, issue.3, pp.267-283, 1970.
DOI : 10.1007/BF02310791

Y. Takane, 11 Applications of Multidimensional Scaling in Psychometrics, Handbook of Statistics, pp.359-400, 2007.
DOI : 10.1016/S0169-7161(06)26011-5

F. Husson and J. Pages, INDSCAL model: geometrical interpretation and methodology, Computational Statistics & Data Analysis, vol.50, issue.2, pp.358-378, 2006.
DOI : 10.1016/j.csda.2004.08.005
URL : https://hal.archives-ouvertes.fr/hal-00467230

A. Yeredor, Non-orthogonal joint diagonalization in the least-squares sense with application in blind source separation, IEEE Transactions on Signal Processing, vol.50, issue.7, pp.1545-1553, 2002.
DOI : 10.1109/TSP.2002.1011195

A. Belouchrani, K. Abed-meraim, J. Cardoso, and E. Moulines, A blind source separation technique using second-order statistics, IEEE Transactions on Signal Processing, vol.45, issue.2, pp.434-444, 1997.
DOI : 10.1109/78.554307

J. Cardoso and A. Souloumiac, Blind beamforming for non-gaussian signals, IEE Proceedings F Radar and Signal Processing, vol.140, issue.6, pp.362-370, 1993.
DOI : 10.1049/ip-f-2.1993.0054
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.5684

L. Albera, P. Comon, L. C. Parra, A. Karfoul, A. Kachenoura et al., Comparative performance study of independent component analysis methods on biomedical signals, in: Handbook of Blind Source Separation, 2010.

A. Kachenoura, L. Albera, L. Senhadji, and P. Comon, Ica: a potential tool for bci systems, IEEE Signal Processing Magazine, vol.25, issue.1, pp.57-68, 2008.
DOI : 10.1109/MSP.2008.4408442
URL : https://hal.archives-ouvertes.fr/inserm-00202706

F. Asano, S. Ikeda, M. Ogawa, H. Asoh, and N. Kitawaki, Combined approach of array processing and independent component analysis for blind separation of acoustic signals, IEEE Transactions on Speech and Audio Processing, vol.11, issue.3, pp.204-215, 2003.
DOI : 10.1109/TSA.2003.809191

C. Ladroue, F. A. Howe, J. R. Griffiths, and A. R. Tate, Independent component analysis for automated decomposition of in vivo magnetic resonance spectra, Magnetic Resonance in Medicine, vol.11, issue.4, pp.697-703, 2003.
DOI : 10.1002/mrm.10595

D. Pham, Joint Approximate Diagonalization of Positive Definite Hermitian Matrices, SIAM Journal on Matrix Analysis and Applications, vol.22, issue.4, pp.1136-1152, 2001.
DOI : 10.1137/S089547980035689X

B. Afsari, Sensitivity Analysis for the Problem of Matrix Joint Diagonalization, SIAM Journal on Matrix Analysis and Applications, vol.30, issue.3, pp.1148-1171, 2008.
DOI : 10.1137/060655997

T. G. Kolda and B. W. Bader, Tensor Decompositions and Applications, Tensor decompositions and applications, pp.455-500, 2009.
DOI : 10.1137/07070111X
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.782

J. T. Berge and H. Kiers, Some clarifications of the CANDECOMP algorithm applied to INDSCAL, Psychometrika, vol.3, issue.2, pp.317-326, 1991.
DOI : 10.1007/BF02294465

D. Kang, Y. Sung, S. Kim, S. Lee, and C. Kim, Multiple object decomposition based on independent component analysis of multi-energy x-ray projections, 2009 16th IEEE International Conference on Image Processing (ICIP), pp.4173-4176, 2009.
DOI : 10.1109/ICIP.2009.5414533

H. Parastar, M. Jalali-heravi, and R. Tauler, Is independent component analysis appropriate for multivariate resolution in analytical chemistry?, TrAC Trends in Analytical Chemistry, vol.31, pp.134-143, 2012.
DOI : 10.1016/j.trac.2011.07.010

J. Hao, X. Zou, P. M. Wilson, N. P. Davies, Y. Sun et al., H magnetic resonance spectra, NMR in Biomedicine, vol.23, issue.8, pp.809-818, 2009.
DOI : 10.1002/nbm.1393

J. Pulkkinen, A. Hakkinen, N. Lundbom, A. Paetau, R. A. Kauppinen et al., Independent component analysis to proton spectroscopic imaging data of human brain tumours, European Journal of Radiology, vol.56, issue.2, pp.160-164, 2005.
DOI : 10.1016/j.ejrad.2005.03.018

M. S. Bartlett, J. Movellan, and T. Sejnowski, Face recognition by independent component analysis, IEEE Transactions on Neural Networks, vol.13, issue.6, pp.1450-1464, 2002.
DOI : 10.1109/TNN.2002.804287

B. Chen, O. Acosta, A. Kachenoura, J. D. Ospina, G. Drean et al., Spatial Characterization and Classification of Rectal Bleeding in Prostate Cancer Radiotherapy with a Voxel-Based Principal Components Analysis Model for 3D Dose Distribution, Prostate Cancer Imaging Workshop, MICCAI 2011, pp.60-69, 2011.
DOI : 10.1007/978-3-540-75759-7_39
URL : https://hal.archives-ouvertes.fr/hal-00908646

J. Coloigner, L. Albera, A. Kachenoura, and L. Senhadji, Canonical decomposition of semi-symmetric semi-nonnegative three-way arrays, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011.
DOI : 10.1109/ACSSC.2011.6190038
URL : https://hal.archives-ouvertes.fr/hal-00908655

J. Coloigner, L. Albera, A. Karfoul, A. Kachenoura, P. Comon et al., Semi-nonnegative independent component analysis, in: in LVA/ICA 10, ninth international conference on latent variable analysis and signal separation, pp.612-619, 2010.

J. Royer, N. Thirion-moreau, and P. Comon, Computing the polyadic decomposition of nonnegative third order tensors, Signal Processing, vol.91, issue.9
DOI : 10.1016/j.sigpro.2011.03.006
URL : https://hal.archives-ouvertes.fr/hal-00618729

M. Rajih, P. Comon, and R. A. Harshman, Enhanced Line Search: A Novel Method to Accelerate PARAFAC, SIAM Journal on Matrix Analysis and Applications, vol.30, issue.3, pp.1148-1171, 2008.
DOI : 10.1137/06065577
URL : https://hal.archives-ouvertes.fr/hal-00327595

P. Comon, X. Luciani, and A. L. Almeida, Tensor decompositions, alternating least squares and other tales, Journal of Chemometrics, vol.78, issue.8, pp.393-405, 2009.
DOI : 10.1016/j.laa.2009.01.014/
URL : https://hal.archives-ouvertes.fr/hal-00410057

R. Bro and S. D. Jong, A fast non-negativity-constrained least squares algorithm, Journal of Chemometrics, vol.11, issue.5, pp.393-401, 1999.
DOI : 10.1002/(SICI)1099-128X(199709/10)11:5<393::AID-CEM483>3.0.CO;2-L

J. W. Brewer, Kronecker products and matrix calculus in system theory, IEEE Transactions On Circuits and Systems, vol.25, issue.9, pp.114-122, 1978.

J. Nocedal and S. J. Wright, Numerical optimization second edition, 2006.

Y. Chen, D. Han, and L. Qi, New ALS Methods With Extrapolating Search Directions and Optimal Step Size for Complex-Valued Tensor Decompositions, IEEE Transactions on Signal Processing, vol.59, issue.12, pp.5888-5898, 2011.
DOI : 10.1109/TSP.2011.2164911

A. Franc, Etude algebrique des multitableaux: Apport de l'algebre tensorielle, 1992.

J. Coloigner, A. Karfoul, L. Albera, and P. Comon, Line search and trust region strategies for canonical decomposition of semi-nonnegative semi-symmetric 3rd order tensors, Linear Algebra and its applications 450, pp.334-374, 2014.

S. Moussaoui, D. Brie, A. Mohamad-djafari, and C. Carteret, Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling, IEEE Transactions on Signal Processing, vol.54, issue.11, pp.4133-4145, 2006.
DOI : 10.1109/TSP.2006.880310
URL : https://hal.archives-ouvertes.fr/hal-00121602

A. Hyvarinen, Fast and robust fixed-point algorithms for independent component analysis, IEEE Transactions on Neural Networks, vol.10, issue.3, pp.626-634, 1999.
DOI : 10.1109/72.761722

E. Moreau, A generalization of joint-diagonalization criteria for source separation, IEEE Transactions on Signal Processing, vol.49, issue.3, pp.530-541, 2001.
DOI : 10.1109/78.905873
URL : https://hal.archives-ouvertes.fr/hal-01479860

P. Comon, Independent Component Analysis, a new concept ?, Signal Processing, pp.287-314, 1994.

L. Albera, A. Ferreol, P. Comon, and P. Chevalier, Blind Identification of Overcomplete MixturEs of sources (BIOME), Linear Algebra Applications 391C, pp.3-30, 2004.
DOI : 10.1016/j.laa.2004.05.007
URL : https://hal.archives-ouvertes.fr/hal-00536010

F. Samaria and A. Harter, Parameterisation of a stochastic model for human face identification, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision, 1994.
DOI : 10.1109/ACV.1994.341300

A. Hjorungnes and D. Gesbert, Complex-Valued Matrix Differentiation: Techniques and Key Results, IEEE Transactions on Signal Processing, vol.55, issue.6, pp.2740-2746, 2007.
DOI : 10.1109/TSP.2007.893762

W. Branson, Solving the cubic with cardano, Tech. rep, 2013.

P. Paatero, A weighted non-negative least squares algorithm for threeway 'parafac' factor analysis, Chemometrics and Intelligent Laboratory Systems, pp.223-242, 1997.