A multilinear singular value decomposition L De Lathauwer, B De Moor, J Vandewalle
SIAM journal on Matrix Analysis and Applications 21 (4), 1253-1278, 2000
4922 2000 On the Best Rank-1 and Rank-(R 1 ,R 2 ,. . .,RN ) Approximation of Higher-Order Tensors L De Lathauwer, B De Moor, J Vandewalle
SIAM journal on Matrix Analysis and Applications 21 (4), 1324-1342, 2000
1935 2000 Tensor decomposition for signal processing and machine learning ND Sidiropoulos, L De Lathauwer, X Fu, K Huang, EE Papalexakis, ...
IEEE Transactions on signal processing 65 (13), 3551-3582, 2017
1443 2017 Tensor decompositions for signal processing applications: From two-way to multiway component analysis A Cichocki, D Mandic, L De Lathauwer, G Zhou, Q Zhao, C Caiafa, ...
IEEE signal processing magazine 32 (2), 145-163, 2015
1420 2015 Fetal electrocardiogram extraction by blind source subspace separation L De Lathauwer, B De Moor, J Vandewalle
IEEE transactions on biomedical engineering 47 (5), 567-572, 2000
774 2000 Signal processing based on multilinear algebra L De Lathauwer
Katholieke Universiteit Leuven, 1997
537 1997 Decompositions of a higher-order tensor in block terms—Part II: Definitions and uniqueness L De Lathauwer
SIAM Journal on Matrix Analysis and Applications 30 (3), 1033-1066, 2008
515 2008 A link between the canonical decomposition in multilinear algebra and simultaneous matrix diagonalization L De Lathauwer
SIAM journal on Matrix Analysis and Applications 28 (3), 642-666, 2006
475 2006 Decompositions of a higher-order tensor in block terms—Part III: Alternating least squares algorithms L De Lathauwer, D Nion
SIAM journal on Matrix Analysis and Applications 30 (3), 1067-1083, 2008
360 * 2008 Fourth-order cumulant-based blind identification of underdetermined mixtures L De Lathauwer, J Castaing, JF Cardoso
IEEE Transactions on Signal Processing 55 (6), 2965-2973, 2007
319 2007 Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank- L Sorber, M Van Barel, L De Lathauwer
SIAM Journal on Optimization 23 (2), 695-720, 2013
307 2013 Computation of the canonical decomposition by means of a simultaneous generalized Schur decomposition L De Lathauwer, B De Moor, J Vandewalle
SIAM journal on Matrix Analysis and Applications 26 (2), 295-327, 2004
268 2004 An introduction to independent component analysis L De Lathauwer, B De Moor, J Vandewalle
Journal of Chemometrics: A Journal of the Chemometrics Society 14 (3), 123-149, 2000
264 2000 Tensorlab 3.0 N Vervliet, O Debals, L Sorber, M Van Barel, L De Lathauwer
Mar, 2016
262 2016 Learning with tensors: a framework based on convex optimization and spectral regularization M Signoretto, Q Tran Dinh, L De Lathauwer, JAK Suykens
Machine Learning 94, 303-351, 2014
259 2014 Blind identification of underdetermined mixtures by simultaneous matrix diagonalization L De Lathauwer, J Castaing
IEEE Transactions on Signal Processing 56 (3), 1096-1105, 2008
248 2008 Dimensionality reduction in higher-order signal processing and rank-(R1, R2,…, RN) reduction in multilinear algebra L De Lathauwer, J Vandewalle
Linear Algebra and its Applications 391, 31-55, 2004
237 2004 Unconstrained optimization of real functions in complex variables L Sorber, MV Barel, LD Lathauwer
SIAM Journal on Optimization 22 (3), 879-898, 2012
213 2012 Structured data fusion L Sorber, M Van Barel, L De Lathauwer
IEEE Journal of Selected Topics in Signal Processing 9 (4), 586-600, 2015
206 2015 Breaking the curse of dimensionality using decompositions of incomplete tensors: Tensor-based scientific computing in big data analysis N Vervliet, O Debals, L Sorber, L De Lathauwer
IEEE Signal Processing Magazine 31 (5), 71-79, 2014
195 2014 