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Lieven De Lathauwer
Lieven De Lathauwer
Dirección de correo verificada de kuleuven.be
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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
52002000
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
20262000
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
16802017
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
15552015
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
7952000
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
5732008
Signal processing based on multilinear algebra
L De Lathauwer
Katholieke Universiteit Leuven, 1997
5431997
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
4872006
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
388*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
3282007
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
3262013
Tensorlab 3.0
N Vervliet, O Debals, L Sorber, M Van Barel, L De Lathauwer
Mar, 2016
2812016
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
2762000
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
2732004
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
2712014
Blind identification of underdetermined mixtures by simultaneous matrix diagonalization
L De Lathauwer, J Castaing
IEEE Transactions on Signal Processing 56 (3), 1096-1105, 2008
2602008
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
2512004
Unconstrained optimization of real functions in complex variables
L Sorber, MV Barel, LD Lathauwer
SIAM Journal on Optimization 22 (3), 879-898, 2012
2292012
Structured data fusion
L Sorber, M Van Barel, L De Lathauwer
IEEE journal of selected topics in signal processing 9 (4), 586-600, 2015
2222015
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
2112014
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