, Analyse discriminante multivoie sparse, 48èmes Journées de Statistique de la SFdS (JdS), 2016.
, Une pénalité de groupe pour des données multivoie de grande dimension, p.2015
, Multiway regularized generalized canonical correlation analysis, 47èmes Journées de Statistique de la SFdS (JdS), 2015.
, Régression logistique multivoie, 46èmes Journées de Statistique de la SFdS (JdS), 2014.
, Discriminant Analysis for Multiway Data, 2014.
, Discriminant Analysis for Multiway Data, Proceedings in Mathematics & Statistics, 2015.
, Discriminant Analysis for Multiway Data, p.2017
, Singular value decomposition (SVD) and generalized singular value decomposition. Encyclopedia of measurement and statistics, pp.907-912, 2007.
, Partial least squares regression and projection on latent structure regression (PLS Regression), Wiley Interdisciplinary Reviews: Computational Statistics, vol.15, issue.1, pp.97-106, 2010.
DOI : 10.1006/nimg.2002.1094
, Matrix-based introduction to multivariate data analysis, 2016.
, Diffusion tensor imaging of the corpus callosum in Autism, Neuroimage, vol.34, issue.1, pp.61-73, 2007.
, Diffusion tensor imaging of the brain, Neurotherapeutics, vol.4, issue.3, pp.316-329, 2007.
, Structured Sparsity through Convex Optimization, Statistical Science, vol.27, issue.4, pp.450-468, 2012.
DOI : 10.1214/12-STS394
URL : https://hal.archives-ouvertes.fr/hal-00621245
, Efficient MATLAB computations with sparse and factored tensors, SIAM Journal on Scientific Computing, vol.30, issue.1, pp.205-231, 2007.
, Modèle de durée pour données multivoie, 49èemes Journées de Statistique de la SFdS (JdS). SFdS, p.2017, 2017.
, Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI, Journal of magnetic resonance, vol.213, issue.2, pp.560-570, 2011.
, Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends, Machine Learning, pp.1-122, 2011.
, Multiway calibration. Multilinear PLS, Journal of Chemometrics, vol.10, issue.1, pp.47-61, 1996.
DOI : 10.1002/(SICI)1099-128X(199601)10:1<47::AID-CEM400>3.0.CO;2-C
, Multiway calibration. Multilinear PLS, Journal of Chemometrics, vol.10, issue.1, pp.47-61, 1996.
DOI : 10.1002/(SICI)1099-128X(199601)10:1<47::AID-CEM400>3.0.CO;2-C
, Tutorial and applications. Chemometrics and intelligent laboratory systems, pp.149-171, 1997.
, Review of chemometrics applied to spectroscopy: 1985-95, part 3â??multi- way analysis, 1997.
, Generalization of canonical correlation analysis to three or more sets of variables, Proceedings of the 76th annual convention of the American Psychological Association, pp.227-228, 1968.
DOI : 10.1037/e473742008-115
, A Multilinear Singular Value Decomposition, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.4, pp.1253-1278, 2000.
DOI : 10.1137/S0895479896305696
, Additive structure in qualitative data: An alternating least squares method with optimal scaling features, Psychometrika, vol.41, issue.4, pp.471-503, 1976.
DOI : 10.1007/BF02296971
, Block-relaxation Algorithms in Statistics, Information systems and data analysis, pp.308-324, 1994.
DOI : 10.1007/978-3-642-46808-7_28
, Applications of convex analysis to multidimensional scaling, Department of Statistics, 2005.
, Least angle regression. The Annals of statistics, pp.407-499, 2004.
, The use of multiple measurements in taxonomic problems, Annals of eugenics, vol.7, issue.2, pp.179-188, 1936.
, Assessment of White Matter Injury and Outcome in Severe Brain TraumaA Prospective Multicenter Cohort, The Journal of the American Society of Anesthesiologists, vol.117, issue.86, pp.1300-1310, 2012.
, Principal component analysis of multivariate images, Chemometrics and Intelligent Laboratory Systems, vol.5, issue.3, pp.209-220, 1989.
DOI : 10.1016/0169-7439(89)80049-8
, Survey of British clinicians' views on management of patients in persistent vegetative state, The Lancet, vol.348, issue.9019, pp.35-40, 1996.
DOI : 10.1016/S0140-6736(96)02030-2
, Analysis of K sets of data, with differential emphasis on agreement between and within sets, Computational Statistics & Data Analysis, vol.51, issue.3, pp.1491-1508, 2006.
DOI : 10.1016/j.csda.2006.04.020
, Foundations of the PARAFAC procedure: Models and conditions for an" explanatory" multi-modal factor analysis, 1970.
, The elements of statistical learning: data mining, inference and prediction, The Mathematical Intelligencer, vol.27, issue.58, pp.83-85, 2009.
, The Expression of a Tensor or a Polyadic as a Sum of Products, Journal of Mathematics and Physics, vol.6, issue.4, pp.164-189, 1927.
, Ridge regression: applications to nonorthogonal problems, Technometrics, vol.12, issue.1, pp.69-82, 1970.
, The hadamard product, Proc. Symp. Appl. Math, pp.87-169, 1990.
, Block-matrix generalizations of Schur's basic theorems on Hadamard products, Linear Algebra and its Applications, vol.172, pp.337-346, 1992.
, Matrix analysis, 2012.
, Relations amongm sets of measures, Psychometrika, vol.10, issue.2, pp.129-149, 1961.
DOI : 10.1007/BF02289710
, A tutorial on MM algorithms, The American Statistician, vol.58, issue.1, pp.30-37, 2004.
, Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity, SIAM Journal on Imaging Sciences, vol.5, issue.3, pp.835-856, 2012.
DOI : 10.1137/110832380
URL : https://hal.archives-ouvertes.fr/inria-00589785
, A Fast Dual Algorithm for Kernel Logistic Regression, Machine Learning, vol.20, issue.3, pp.151-165, 2005.
DOI : 10.1109/34.735807
, Canonical analysis of several sets of variables, Biometrika, pp.433-451, 1971.
, Solutions to some functional equations and their applications to characterization of probability distributions. Sankhy¯ a: The Indian Journal of Statistics, Series A, pp.167-180, 1968.
, PARAFAC2-Part I. A direct fitting algorithm for the PARAFAC2 model, Journal of Chemometrics, vol.13, issue.3-4, pp.275-294, 1999.
, Towards a standardized notation and terminology in multiway analysis, Journal of chemometrics, vol.14, issue.3 8, pp.105-122, 2000.
, Orthogonal tensor decompositions, SIAM Journal on Matrix Analysis and Applications, vol.23, issue.1, pp.243-255, 2001.
, Tensor decompositions and applications, SIAM review, vol.51, issue.3, pp.455-500, 2009.
, Analysis of High Dimensional Data with Partial Least Squares and Boosting, 2007.
, Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review, NeuroImage, vol.56, issue.2, pp.455-475, 2011.
DOI : 10.1016/j.neuroimage.2010.07.034
, Principal component analysis of three-mode data by means of alternating least squares algorithms, Psychometrika, vol.45, issue.1, pp.69-97, 1980.
, Three-mode principal component analysis: Theory and applications, 1983.
, Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics, Linear algebra and its applications, pp.95-138, 1977.
, Numerical analysis for statisticians, 2010.
DOI : 10.1007/978-1-4419-5945-4
, Research methods for multimode data analysis, 1984.
, Régression logistique multivoie, 46èemes Journées de Statistique de la SFdS (JdS). SFdS, p.2014
, Une pénalité de groupe pour des données multivoie de grande dimension, 47èemes Journées de Statistique de la SFdS (JdS). SFdS, p.2015
, Analyse discriminante multivoie sparse, 48èemes Journées de Statistique de la SFdS (JdS). SFdS, p.2016
URL : https://hal.archives-ouvertes.fr/hal-01376457
, Discriminant Analysis for Multiway Data, PLS and Related methods. PLS, p.2014, 2014.
DOI : 10.1093/brain/awm294
URL : https://hal.archives-ouvertes.fr/hal-01235812
, Discriminant Analysis for Multiway Data, p.2015, 2015.
DOI : 10.1093/brain/awm294
URL : https://hal.archives-ouvertes.fr/hal-01235812
, Partial least-squares method for spectrofluorimetric analysis of mixtures of humic acid and lignin sulfonate, Analytical Chemistry, vol.55, issue.4, pp.643-648, 1983.
DOI : 10.1021/ac00255a014
, Sparse Logistic Regression with Lp Penalty for Biomarker Identification, Statistical Applications in Genetics and Molecular Biology, vol.6, issue.1, 2007.
DOI : 10.2202/1544-6115.1248
, Kronecker and other matrix products, Int. J. Inf. Syst. Sci, vol.4, issue.1, pp.160-177, 2008.
, Process monitoring and diagnosis by multiblock PLS methods, AIChE Journal, vol.40, issue.5, pp.826-838, 1994.
, Concurrent EEG/fMRI analysis by multiway Partial Least Squares, NeuroImage, vol.22, issue.3, pp.1023-1034, 2004.
DOI : 10.1016/j.neuroimage.2004.03.038
, A simple comprehensive model for the analysis of covariance structures: Some remarks on applications, British Journal of Mathematical and Statistical Psychology, vol.33, issue.2, pp.161-183, 1980.
, Matrix analysis and applied linear algebra, Siam, vol.2, 2000.
, Fisher Discriminant Analysis with Kernels, IEEE Conference on Neural Networks for Signal Processing IX, pp.41-48, 1999.
, Machine learning: a probabilistic perspective, 2012.
, Efficient training of RBF networks for classification, International Journal of Neural Systems, vol.14, issue.03, pp.201-208, 2004.
, Feature selection, L 1 vs. L 2 regularization, and rotational invariance, Proceedings of the twenty-first international conference on Machine learning, p.78, 2004.
, Improved sensitivity to cerebral white matter abnormalities in Alzheimer's disease with spherical deconvolution based tractography, PloS one, vol.7, issue.8, pp.44074-2012, 2012.
, Overview and Recent Advances in Partial Least Squares, Subspace, latent structure and feature selection, pp.34-51, 2006.
DOI : 10.1002/(SICI)1097-0193(1997)5:4<254::AID-HBM9>3.0.CO;2-2
, Tensorial calibration: I. First-order calibration, Journal of Chemometrics, vol.31, issue.4, pp.247-263, 1988.
DOI : 10.1080/00032717508059038
, Tensorial calibration: II. Second-order calibration, Journal of Chemometrics, vol.41, issue.4, pp.265-280, 1988.
DOI : 10.1002/cem.1180020405
, Component models for three-way data: An alternating least squares algorithm with optimal scaling features, Psychometrika, vol.45, issue.1, pp.39-67, 1980.
, Learning with kernels: support vector machines, regularization, optimization, and beyond, 2001.
, Understanding machine learning: From theory to algorithms, p.2014
DOI : 10.1017/CBO9781107298019
, John Shawe-Taylor and Nello Cristianini. Kernel methods for pattern analysis, 2004.
, Diffusion tensor imaging during recovery from severe traumatic brain injury and relation to clinical outcome: a longitudinal study, Brain, vol.131, issue.2, pp.559-572, 2008.
DOI : 10.1093/brain/awm294
, Parallel factor analysis in sensor array processing, IEEE transactions on Signal Processing, vol.48, issue.8, pp.2377-2388, 2000.
, Multivariate calibration of reversed-phase chromatographic systems. Some designs based on three-way data analysis, Analytica Chimica Acta, vol.235, pp.41-51, 1990.
, Three-way methods for the calibration of chromatographic systems: Comparing PARAFAC and three-way PLS, Journal of Chemometrics, vol.5, issue.4, pp.345-360, 1991.
, A framework for sequential multiblock component methods, Journal of chemometrics, vol.17, issue.6, pp.323-337, 2003.
, A tutorial on principal components analysis, p.52, 2002.
, Dysmyelination Revealed through MRI as Increased Radial (but Unchanged Axial) Diffusion of Water, NeuroImage, vol.17, issue.3, pp.1429-1436, 2002.
DOI : 10.1006/nimg.2002.1267
, Finding EEG space-time-scale localized features using Matrix-based penalized discriminant analysis, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.6004-6008, 2014.
DOI : 10.1109/ICASSP.2014.6854756
URL : https://hal.archives-ouvertes.fr/hal-00989928
, Analyse Factorielle Discriminante Multi-voie, 45èmes Journée de Statistique de la SFdS, p.2013, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00862329
, Variable selection for generalized canonical correlation analysis, Biostatistics, pp.1-2014, 2014.
, Multiway regularized generalized canonical correlation analysis, 47èemes Journées de Statistique de la SFdS (JdS). SFdS, p.2015, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01235979
, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society. Series B (Methodological), pp.267-288, 1996.
, Solutions of ill-posed problems
, Partitioned Kronecker products of matrices and applications, Canadian Journal of Statistics, vol.17, issue.1, pp.107-120, 1989.
, An inter-battery method of factor analysis, Psychometrika, vol.23, issue.30, pp.111-136, 1958.
, Some mathematical notes on three-mode factor analysis, Psychometrika, vol.31, issue.3, pp.279-311, 1966.
, Linear relations amongk sets of variables, Psychometrika, vol.49, issue.1, pp.79-94, 1984.
, Redundancy analysis an alternative for canonical correlation analysis, Psychometrika, vol.42, issue.30, pp.207-219, 1977.
, The ubiquitous Kronecker product, Journal of computational and applied mathematics, vol.123, issue.1, pp.85-100, 2000.
, Multilinear Analysis of Image Ensembles: TensorFaces, European Conference on Computer Vision, pp.447-460, 2002.
DOI : 10.1007/3-540-47969-4_30
, TensorTextures, ACM Transactions on Graphics, vol.23, issue.3, pp.336-342, 2004.
DOI : 10.1145/1015706.1015725
, Multilinear Independent Components Analysis, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.547-553, 2005.
DOI : 10.1109/CVPR.2005.240
, An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications, Visualization and Processing of Tensor Fields, pp.121-153, 2006.
DOI : 10.1007/3-540-31272-2_7
, Fisher linear discriminant analysis, pp.1-4, 2005.
, Analysis of multiblock and hierarchical PCA and PLS models, Journal of chemometrics, vol.12, issue.5, pp.301-321, 1998.
, Analysis of multiblock and hierarchical PCA and PLS models, Journal of Chemometrics, vol.12, issue.5, pp.301-321, 1998.
, About axial and radial diffusivities, Magnetic Resonance in Medicine, vol.61, issue.5, pp.1255-1260, 2009.
, Application of PARAFAC2 to fault detection and diagnosis in semiconductor etch, Journal of chemometrics, vol.15, issue.4, pp.285-298, 2001.
, Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach, NIPS, pp.1269-1277, 2011.
, Separable linear discriminant analysis, Computational Statistics & Data Analysis, vol.56, issue.12, pp.4290-4300, 2012.
DOI : 10.1016/j.csda.2012.04.003
, Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.5, issue.2, pp.301-320, 2005.
DOI : 10.1073/pnas.201162998
, The Adaptive Lasso and Its Oracle Properties, Journal of the American Statistical Association, vol.101, issue.476, pp.1418-1429, 2006.
DOI : 10.1198/016214506000000735
, Sparse Principal Component Analysis, Journal of Computational and Graphical Statistics, vol.15, issue.2, pp.265-286, 2006.
DOI : 10.1198/106186006X113430