| 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 | 5164 | 2000 |
| On the Best Rank-1 and Rank-(R1 ,R2 ,. . .,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 | 2015 | 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 | 1650 | 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 | 1536 | 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 | 794 | 2000 |
| 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 | 570 | 2008 |
| Signal processing based on multilinear algebra L De Lathauwer Katholieke Universiteit Leuven, 1997 | 540 | 1997 |
| 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 | 486 | 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 | 385* | 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 | 326 | 2007 |
| Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank- Terms, and a New Generalization L Sorber, M Van Barel, L De Lathauwer SIAM Journal on Optimization 23 (2), 695-720, 2013 | 323 | 2013 |
| Tensorlab 3.0 N Vervliet, O Debals, L Sorber, M Van Barel, L De Lathauwer Mar, 2016 | 279 | 2016 |
| 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 | 274 | 2000 |
| 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 | 271 | 2014 |
| 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 | 270 | 2004 |
| Blind identification of underdetermined mixtures by simultaneous matrix diagonalization L De Lathauwer, J Castaing IEEE Transactions on Signal Processing 56 (3), 1096-1105, 2008 | 260 | 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 | 250 | 2004 |
| Unconstrained optimization of real functions in complex variables L Sorber, MV Barel, LD Lathauwer SIAM Journal on Optimization 22 (3), 879-898, 2012 | 227 | 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 | 221 | 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 | 208 | 2014 |
