Lieven De Lathauwer
Orcid: 0000-0001-5562-5014Affiliations:
- Catholic University of Leuven, Belgium
According to our database1,
Lieven De Lathauwer
authored at least 186 papers
between 1996 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2015, "For contributions to signal processing algorithms using tensor decompositions".
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Bibliography
2024
SIAM J. Matrix Anal. Appl., March, 2024
Decomposition of a Tensor into Multilinear Rank-\({(M_{{r}},N_{{r}},\cdot )}\) Terms.
SIAM J. Matrix Anal. Appl., 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
SIAM J. Matrix Anal. Appl., June, 2023
IEEE Trans. Signal Process., 2023
Factorizer: A scalable interpretable approach to context modeling for medical image segmentation.
Medical Image Anal., 2023
Comput. Sci. Eng., 2023
Multilinear singular value decomposition of a tensor with fibers observed along one mode<sup>*</sup>.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
Overdetermined Systems of Polynomial Equations: Tensor-Based Solution and Application.
Proceedings of the 31st European Signal Processing Conference, 2023
Uniqueness Result and Algebraic Algorithm for Decomposition into Multilinear Rank- $(M_{r}, N_{r}, \cdot)$ Terms and Joint Block Diagonalization.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
2022
IEEE Signal Process. Lett., 2022
$(L_r, L_r, 1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials.
SIAM J. Matrix Anal. Appl., 2022
SIAM J. Matrix Anal. Appl., 2022
Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor.
SIAM J. Matrix Anal. Appl., 2022
J. Comput. Appl. Math., 2022
Frontiers Big Data, 2022
Frontiers Appl. Math. Stat., 2022
Frontiers Appl. Math. Stat., 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Systems of Polynomial Equations, Higher-order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part I: The Canonical Polyadic Decomposition.
SIAM J. Matrix Anal. Appl., 2021
Systems of Polynomial Equations, Higher-Order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part II: The Block Term Decomposition.
SIAM J. Matrix Anal. Appl., 2021
SIAM J. Matrix Anal. Appl., 2021
Inexact Generalized Gauss-Newton for Scaling the Canonical Polyadic Decomposition With Non-Least-Squares Cost Functions.
IEEE J. Sel. Top. Signal Process., 2021
Hierarchical alternating nonlinear least squares for nonnegative matrix factorization using rational functions.
Proceedings of the 29th European Signal Processing Conference, 2021
Tensor-Based Multivariate Polynomial Optimization with Application in Blind Identification.
Proceedings of the 29th European Signal Processing Conference, 2021
2020
A Second-Order Method for Fitting the Canonical Polyadic Decomposition With Non-Least-Squares Cost.
IEEE Trans. Signal Process., 2020
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective.
IEEE Signal Process. Mag., 2020
On Uniqueness and Computation of the Decomposition of a Tensor into Multilinear Rank-(1, L<sub>r, L<sub>r)</sub></sub> Terms.
SIAM J. Matrix Anal. Appl., 2020
Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors.
CoRR, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
2019
Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging.
IEEE Trans. Biomed. Eng., 2019
Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions.
Signal Process. Image Commun., 2019
SIAM J. Sci. Comput., 2019
Fiber Sampling Approach to Canonical Polyadic Decomposition and Application to Tensor Completion.
SIAM J. Matrix Anal. Appl., 2019
Rayleigh Quotient Methods for Estimating Common Roots of Noisy Univariate Polynomials.
Comput. Methods Appl. Math., 2019
Canonical Polyadic Decomposition of a Tensor That Has Missing Fibers: A Monomial Factorization Approach.
Proceedings of the IEEE International Conference on Acoustics, 2019
Tensor-based Blind fMRI Source Separation Without the Gaussian Noise Assumption - A β-Divergence Approach.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Identifying Stable Components of Matrix /Tensor Factorizations via Low-Rank Approximation of Inter-Factorization Similarity.
Proceedings of the 27th European Signal Processing Conference, 2019
NLS Algorithm for Kronecker-Structured Linear Systems with a CPD Constrained Solution.
Proceedings of the 27th European Signal Processing Conference, 2019
Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Recent Numerical and Conceptual Advances for Tensor Decompositions - A Preview of Tensorlab 4.0.
Proceedings of the IEEE Data Science Workshop, 2019
Algebraic and Optimization Based Algorithms for Multivariate Regression Using Symmetric Tensor Decomposition.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
Coupled Canonical Polyadic Decompositions and Multiple Shift Invariance in Array Processing.
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
IEEE Signal Process. Lett., 2018
Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications.
Numer. Linear Algebra Appl., 2018
Single-channel EEG Classification by Multi-channel Tensor subspace Learning and Regression.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part II: Algorithm and Multirate Sampling.
IEEE Trans. Signal Process., 2017
Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part I: Model and Identifiability.
IEEE Trans. Signal Process., 2017
Blind Multichannel Deconvolution and Convolutive Extensions of Canonical Polyadic and Block Term Decompositions.
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
Tensor Decompositions With Several Block-Hankel Factors and Application in Blind System Identification.
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas.
IEEE J. Biomed. Health Informatics, 2017
IEEE Signal Process. Lett., 2017
SIAM J. Matrix Anal. Appl., 2017
Simulation Study of the Localization of a Near-Surface Crack Using an Air-Coupled Ultrasonic Sensor Array.
Sensors, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
Flexible fusion of electroencephalography and functional magnetic resonance imaging: Revealing neural-hemodynamic coupling through structured matrix-tensor factorization.
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
Multiple Invariance ESPRIT for Nonuniform Linear Arrays: A Coupled Canonical Polyadic Decomposition Approach.
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Process., 2016
A Randomized Block Sampling Approach to Canonical Polyadic Decomposition of Large-Scale Tensors.
IEEE J. Sel. Top. Signal Process., 2016
Generic Uniqueness of a Structured Matrix Factorization and Applications in Blind Source Separation.
IEEE J. Sel. Top. Signal Process., 2016
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016
Coupled rank-(Lm, Ln, •) block term decomposition by coupled block simultaneous generalized Schur decomposition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
A tensor-based method for large-scale blind system identification using segmentation.
Proceedings of the 24th European Signal Processing Conference, 2016
Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas.
Proceedings of the 24th European Signal Processing Conference, 2016
Tensorlab 3.0 - Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis.
IEEE Signal Process. Mag., 2015
New Uniqueness Conditions for the Canonical Polyadic Decomposition of Third-Order Tensors.
SIAM J. Matrix Anal. Appl., 2015
Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank-(L<sub>r, n, L<sub>r, n, 1)</sub></sub> Terms - Part I: Uniqueness.
SIAM J. Matrix Anal. Appl., 2015
Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank- (L<sub>r, n</sub>, L<sub>r, n</sub>, 1) Terms - Part II: Algorithms.
SIAM J. Matrix Anal. Appl., 2015
SIAM J. Matrix Anal. Appl., 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis.
IEEE Signal Process. Mag., 2014
SIAM J. Numer. Anal., 2014
Canonical Polyadic Decomposition of Third-Order Tensors: Reduction to Generalized Eigenvalue Decomposition.
SIAM J. Matrix Anal. Appl., 2014
Learning with tensors: a framework based on convex optimization and spectral regularization.
Mach. Learn., 2014
EURASIP J. Adv. Signal Process., 2014
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014
2013
Blind Signal Separation via Tensor Decomposition With Vandermonde Factor: Canonical Polyadic Decomposition.
IEEE Trans. Signal Process., 2013
On the Uniqueness of the Canonical Polyadic Decomposition of Third-Order Tensors - Part II: Uniqueness of the Overall Decomposition.
SIAM J. Matrix Anal. Appl., 2013
On the Uniqueness of the Canonical Polyadic Decomposition of Third-Order Tensors - Part I: Basic Results and Uniqueness of One Factor Matrix.
SIAM J. Matrix Anal. Appl., 2013
Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank-(L<sub>r, L<sub>r, 1)</sub></sub> Terms, and a New Generalization.
SIAM J. Optim., 2013
Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties.
CoRR, 2013
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013
2012
IEEE Trans. Signal Process., 2012
Signal Process., 2012
Signal Process., 2012
SIAM J. Matrix Anal. Appl., 2012
SIAM J. Optim., 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2011
Signal Process., 2011
Iterative methods for the canonical decomposition of multi-way arrays: Application to blind underdetermined mixture identification.
Signal Process., 2011
Blind Separation of Exponential Polynomials and the Decomposition of a Tensor in Rank-(L<sub>r, L<sub>r, 1)</sub></sub> Terms.
SIAM J. Matrix Anal. Appl., 2011
Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme.
SIAM J. Matrix Anal. Appl., 2011
A short introduction to tensor-based methods for Factor Analysis and Blind Source Separation.
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011
Blind channel identification of MISO systems based on the CP decomposition of cumulant tensors.
Proceedings of the 19th European Signal Processing Conference, 2011
Tensor decompositions with block-Toeplitz structure and applications in signal processing.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
Proceedings of the Advances in Neural Networks, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the Artificial Neural Networks, 2010
A Time-Frequency Technique for Blind Separation and Localization of Pure Delayed Sources.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010
2009
Differential-geometric Newton method for the best rank-(<i>R</i><sub>1</sub>, <i>R</i><sub>2</sub>, <i>R</i><sub>3</sub>) approximation of tensors.
Numer. Algorithms, 2009
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
Proceedings of the 17th European Signal Processing Conference, 2009
Proceedings of the 17th European Signal Processing Conference, 2009
2008
IEEE Trans. Signal Process., 2008
Blind Identification of Underdetermined Mixtures by Simultaneous Matrix Diagonalization.
IEEE Trans. Signal Process., 2008
Blind Deconvolution of DS-CDMA Signals by Means of Decomposition in Rank-(1, L, L) Terms.
IEEE Trans. Signal Process., 2008
An enhanced line search scheme for complex-valued tensor decompositions. Application in DS-CDMA.
Signal Process., 2008
A Method to Avoid Diverging Components in the Candecomp/Parafac Model for Generic I˟J˟2 Arrays.
SIAM J. Matrix Anal. Appl., 2008
Decompositions of a Higher-Order Tensor in Block Terms - Part III: Alternating Least Squares Algorithms.
SIAM J. Matrix Anal. Appl., 2008
SIAM J. Matrix Anal. Appl., 2008
Decompositions of a Higher-Order Tensor in Block Terms - Part II: Definitions and Uniqueness.
SIAM J. Matrix Anal. Appl., 2008
Decompositions of a Higher-Order Tensor in Block Terms - Part I: Lemmas for Partitioned Matrices.
SIAM J. Matrix Anal. Appl., 2008
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008
Proceedings of the 2008 16th European Signal Processing Conference, 2008
2007
IEEE Trans. Signal Process., 2007
IEEE Trans. Signal Process., 2007
IEEE Signal Process. Lett., 2007
Signal Process., 2007
Neural Networks, 2007
NeuroImage, 2007
Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study.
Comput. Intell. Neurosci., 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
2006
Signal Process., 2006
Signal Process., 2006
A Link between the Canonical Decomposition in Multilinear Algebra and Simultaneous Matrix Diagonalization.
SIAM J. Matrix Anal. Appl., 2006
A Block Factor Analysis Based Receiver for Blind Multi-User Access in Wireless Communications.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Levenberg-Marquardt computation of the Block Factor Model for blind multi-user access in wireless communications.
Proceedings of the 14th European Signal Processing Conference, 2006
2005
A prewhitening-induced bound on the identification error in independent component analysis.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
Exponential data fitting using multilinear algebra: the single-channel and multi-channel case.
Numer. Linear Algebra Appl., 2005
Delayed exponential fitting by best tensor rank-(R<sub>1</sub>, R<sub>2</sub>, R<sub>3</sub>) approximation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Computation of the Canonical Decomposition by Means of a Simultaneous Generalized Schur Decomposition.
SIAM J. Matrix Anal. Appl., 2004
Dimensionality Reduction in ICA and Rank-(R<sub>1</sub>, R<sub>2</sub>, ..., R<sub>N</sub>) Reduction in Multilinear Algebra.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Proceedings of the 2004 12th European Signal Processing Conference, 2004
Proceedings of the 2004 12th European Signal Processing Conference, 2004
Proceedings of the 2004 12th European Signal Processing Conference, 2004
2003
Numerische Mathematik, 2003
2002
EURASIP J. Adv. Signal Process., 2002
Blind identification of complex convolutive MIMO systems with 3 sources and 2 sensors.
Proceedings of the IEEE International Conference on Acoustics, 2002
Proceedings of the 11th European Signal Processing Conference, 2002
2001
Independent component analysis and (simultaneous) third-order tensor diagonalization.
IEEE Trans. Signal Process., 2001
2000
IEEE Trans. Biomed. Eng., 2000
On the Best Rank-1 and Rank-(<i>R</i><sub>1</sub> , <i>R</i><sub>2</sub>, ... , <i>R<sub>N</sub></i>) Approximation of Higher-Order Tensors.
SIAM J. Matrix Anal. Appl., 2000
On the Computation of the Restricted Singular Value Decomposition via the Cosine-Sine Decomposition.
SIAM J. Matrix Anal. Appl., 2000
Proceedings of the 2000 IEEE Wireless Communications and Networking Conference, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
1998
Proceedings of the 9th European Signal Processing Conference, 1998
1996
Proceedings of the 8th European Signal Processing Conference, 1996