I. M. Johnstone and A. Y. Lu, On Consistency and Sparsity for Principal Components Analysis in High Dimensions, Journal of the American Statistical Association, vol.104, issue.486, pp.682-693, 2009.
DOI : 10.1198/jasa.2009.0121

R. Jenatton, G. Obozinski, and F. Bach, Structured Sparse Principal Component Analysis, Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS) 2010, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00414158

T. Blumensath and M. Davies, Sparse and shift-Invariant representations of music, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.1, p.50, 2006.
DOI : 10.1109/TSA.2005.860346

A. K. Zaas, Gene Expression Signatures Diagnose Influenza and Other Symptomatic Respiratory Viral Infections in Humans, Cell Host & Microbe, vol.6, issue.3, pp.207-217, 2009.
DOI : 10.1016/j.chom.2009.07.006

K. Pearson, LIII. On lines and planes of closest fit to systems of points in space, Philosophical Magazine Series, vol.6, issue.2 11, pp.559-572, 1901.

M. Aharon, M. Elad, and A. Bruckstein, <tex>$rm K$</tex>-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation, IEEE Transactions on Signal Processing, vol.54, issue.11, p.4311, 2006.
DOI : 10.1109/TSP.2006.881199

D. D. Lee and H. S. Seung, Learning the parts of objects by non-negative matrix factorization, Nature, vol.401, issue.6755, pp.788-791, 1999.

J. D. Carroll and J. J. Chang, Analysis of individual differences in multidimensional scaling via an n-way generalization of ???Eckart-Young??? decomposition, Psychometrika, vol.12, issue.3, pp.283-319, 1970.
DOI : 10.1007/BF02310791

T. G. Kolda and B. W. Bader, Tensor Decompositions and Applications, SIAM Review, vol.51, issue.3, pp.455-500, 2009.
DOI : 10.1137/07070111X

A. T. Puig, A. Wiesel, and A. O. Hero, Order-preserving factor analysis, Tech. Rep, 2010.

M. Yuan and Y. Lin, Model selection and estimation in regression with grouped variables, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.58, issue.1, p.49, 2006.
DOI : 10.1198/016214502753479356

N. Pustelnik, C. Chaux, and J. C. Pesquet, A constrained forwardbackward algorithm for image recovery problems, Proc. EUSIPCO, pp.25-29, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00621916

Y. Huang, Temporal Dynamics of Host Molecular Responses Differentiate Symptomatic and Asymptomatic Influenza A Infection, PLoS Genetics, vol.7, issue.8, 2010.
DOI : 10.1371/journal.pgen.1002234.s025

S. Boyd, A. Ghosh, and A. Magnani, Branch and bound methods, 2003.