Lieven De Lathauwer

发表

A wide range of BSS applications in neuroscience

Sabine Van Huffel, Maarten De Vos, Katrien Vanderperren, 2008 .

Fetal electrocardiogram extraction by blind source subspace separation

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2000, IEEE Transactions on Biomedical Engineering.

Data-Dependent Norm Adaptation for Sparse Recovery in Kernel Ensembles Learning

Johan A. K. Suykens, Lieven De Lathauwer, Kristiaan Pelckmans, 2009 .

Computation of tensor decompositions via numerical optimization

Lieven De Lathauwer, Laurent Sorber, Marc Van Barel, 2014 .

Détection autodidacte pour des systèmes à accès multiple basée sur l'analyse PARAFAC

Lieven De Lathauwer, Alexandre de Baynast, Lieven De Lathauwer, 2003 .

Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition—Part II: Algorithm and Multirate Sampling

Lieven De Lathauwer, Mikael Sørensen, L. Lathauwer, 2017, IEEE Transactions on Signal Processing.

Canonical Polyadic Decomposition of Third-Order Tensors: Reduction to Generalized Eigenvalue Decomposition

Lieven De Lathauwer, Ignat Domanov, L. Lathauwer, 2013, SIAM J. Matrix Anal. Appl..

Decompositions of a Higher-Order Tensor in Block Terms - Part I: Lemmas for Partitioned Matrices

Lieven De Lathauwer, L. Lathauwer, L. D. Lathauwer, 2008, SIAM J. Matrix Anal. Appl..

Additional structure in the JADE algorithm for independent component analysis

Lieven De Lathauwer, Pieter Penninckx, 2010 .

Higher order cumulant based blind channel identification : Enhanced line search solutions

Lieven De Lathauwer, Ignat Domanov, 2010 .

New Uniqueness Conditions for the Canonical Polyadic Decomposition of Third-Order Tensors

Lieven De Lathauwer, Mikael Sørensen, L. Lathauwer, 2015, SIAM J. Matrix Anal. Appl..

A Grassmann-Rayleigh Quotient Iteration for Dimensionality Reduction in ICA

Joos Vandewalle, Lieven De Lathauwer, Luc Hoegaerts, 2004, ICA.

Tensorlab : a matlab toolbox for tensor computations (talk)

Nico Vervliet, Lieven De Lathauwer, 2015 .

Decompositions of a Higher-Order Tensor in Block Terms - Part III: Alternating Least Squares Algorithms

Lieven De Lathauwer, Dimitri Nion, L. Lathauwer, 2008, SIAM J. Matrix Anal. Appl..

Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging

Sabine Van Huffel, Lieven De Lathauwer, Uwe Himmelreich, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

On Uniqueness and Computation of the Decomposition of a Tensor into Multilinear Rank-(1, Lr, Lr) Terms

Lieven De Lathauwer, Ignat Domanov, L. Lathauwer, 2018, SIAM J. Matrix Anal. Appl..

Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2007, Comput. Intell. Neurosci..

Multiple Invariance ESPRIT for Nonuniform Linear Arrays: A Coupled Canonical Polyadic Decomposition Approach

Lieven De Lathauwer, Mikael Sørensen, L. Lathauwer, 2016, IEEE Transactions on Signal Processing.

A survey of tensor methods

Lieven De Lathauwer, L. Lathauwer, L. D. Lathauwer, 2009, 2009 IEEE International Symposium on Circuits and Systems.

A tensor-based method for large-scale blind system identification using segmentation

Lieven De Lathauwer, Otto Debals, Martijn Bousse, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Löwner-Based Blind Signal Separation of Rational Functions With Applications

Lieven De Lathauwer, Marc Van Barel, Otto Debals, 2016, IEEE Transactions on Signal Processing.

Decompositions of a Higher-Order Tensor in Block Terms - Part II: Definitions and Uniqueness

Lieven De Lathauwer, L. Lathauwer, L. D. Lathauwer, 2008, SIAM J. Matrix Anal. Appl..

On Jacobi-type methods for blind equalization of paraunitary channels

Lieven De Lathauwer, Luc Deneire, Mikael Sørensen, 2012, Signal Process..

Tensor Decomposition for Signal Processing and Machine Learning

Nikos D. Sidiropoulos, Christos Faloutsos, Lieven De Lathauwer, 2016, IEEE Transactions on Signal Processing.

Structured data fusion with tensorlab

Lieven De Lathauwer, Laurent Sorber, Marc Van Barel, 2014 .

An algebraic approach to blind MIMO identification

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2000 .

A Geometric Newton Method for Oja's Vector Field

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2008, Neural Computation.

BLIND MIMO PARA-UNITARY EQUALIZATION

Lieven De Lathauwer, Ludwig Rota, L. Lathauwer, 2004 .

Face recognition as a kronecker product equation

Nico Vervliet, Lieven De Lathauwer, Otto Debals, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Learning with tensors: a framework based on convex optimization and spectral regularization

Johan A. K. Suykens, Lieven De Lathauwer, Dinh Quoc Tran, 2014, Machine Learning.

Some Examples of Big Data Analysis Using Tensors (presentation)

Nico Vervliet, Lieven De Lathauwer, Otto Debals, 2016 .

Introduction to the special issue

Paul Van Dooren, Lieven De Lathauwer, Raf Vandebril, 2014, J. Comput. Appl. Math..

Block Component Analysis, a New Concept for Blind Source Separation

Lieven De Lathauwer, L. Lathauwer, L. D. Lathauwer, 2012, LVA/ICA.

Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties pdf

Johan A. K. Suykens, Lieven De Lathauwer, Marco Signoretto, 2013, ArXiv.

Flexible hemodynamic coupling in EEG-fMRI: circumventing the GLM by structured coupled matrix-tensor factorization

Simon Van Eyndhoven, Sabine Van Huffel, Lieven De Lathauwer, 2017 .

CPD Updating Using Low-Rank Weights

Nico Vervliet, Lieven De Lathauwer, Michiel Vandecappelle, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Blind Signal Separation via Tensor Decomposition With Vandermonde Factor: Canonical Polyadic Decomposition

Lieven De Lathauwer, Mikael Sørensen, L. Lathauwer, 2013, IEEE Transactions on Signal Processing.

A prewhitening-induced bound on the identification error in independent component analysis

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

Egalisation aveugle multi-utilisateurs de signaux DS-CDMA avec séquence d'embrouillage

Lieven De Lathauwer, I. Fijalkow, A. de Baynast, 2001 .

On the Uniqueness of the Canonical Polyadic Decomposition of Third-Order Tensors - Part I: Basic Results and Uniqueness of One Factor Matrix

Lieven De Lathauwer, Ignat Domanov, L. Lathauwer, 2013, SIAM J. Matrix Anal. Appl..

Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis

Nico Vervliet, Lieven De Lathauwer, Laurent Sorber, 2014, IEEE Signal Processing Magazine.

A Bayesian framework for least squares support vector machine regressors

Lieven De Lathauwer, 2001 .

A Link between the Canonical Decomposition in Multilinear Algebra and Simultaneous Matrix Diagonalization

Lieven De Lathauwer, L. Lathauwer, L. D. Lathauwer, 2006, SIAM J. Matrix Anal. Appl..

Subspace-based algorithms for the blind identification of systems with i.i.d. inputs (talk)

Lieven De Lathauwer, Mikael Sorensen, Frederik Van Eeghem, 2016 .

Jacobi iterations for spatially constrained Independent Component Analysis

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2006 .

Tensor-basedECG Signal Processing Applied to Atrial Fibrillation Detection

Sabine Van Huffel, Lieven De Lathauwer, Sibasankar Padhy, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Hybrid Clustering of Multiple Information Sources via HOSVD

Bart De Moor, Lieven De Lathauwer, Xinhai Liu, 2010, ISNN.

Recent Numerical and Conceptual Advances for Tensor Decompositions — A Preview of Tensorlab 4.0

Nico Vervliet, Lieven De Lathauwer, Michiel Vandecappelle, 2019, 2019 IEEE Data Science Workshop (DSW).

Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank- (Lr, n, Lr, n, 1) Terms - Part II: Algorithms

Lieven De Lathauwer, Mikael Sørensen, Ignat Domanov, 2015, SIAM J. Matrix Anal. Appl..

Blind source separation by simultaneous third-order tensor diagonalization

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Algebraic techniques for the blind deconvolution of Constant Modulus signals

Lieven De Lathauwer, L. Lathauwer, 2004, 2004 12th European Signal Processing Conference.

On the Best Rank-1 and Rank-(R1 , R2, ... , RN) Approximation of Higher-Order Tensors

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2000, SIAM J. Matrix Anal. Appl..

A Tensor-Based Method for Large-Scale Blind Source Separation Using Segmentation

Lieven De Lathauwer, Otto Debals, Martijn Bousse, 2017, IEEE Transactions on Signal Processing.

Special Issue on Tensor Decompositions and Applications

Pierre Comon, Lieven De Lathauwer, Nicola Mastronardi, 2008, SIAM J. Matrix Anal. Appl..

Fiber Sampling Approach to Canonical Polyadic Decomposition and Application to Tensor Completion

Lieven De Lathauwer, Mikael Sørensen, L. Lathauwer, 2019, SIAM J. Matrix Anal. Appl..

Unconstrained Optimization of Real Functions in Complex Variables

Lieven De Lathauwer, Laurent Sorber, Marc Van Barel, 2012, SIAM J. Optim..

A Time-Frequency Technique for Blind Separation and Localization of Pure Delayed Sources

Herbert De Gersem, Lieven De Lathauwer, Koen Van Den Abeele, 2010, LVA/ICA.

On the Uniqueness of the Canonical Polyadic Decomposition of Third-Order Tensors - Part II: Uniqueness of the Overall Decomposition

Lieven De Lathauwer, Ignat Domanov, L. Lathauwer, 2013, SIAM J. Matrix Anal. Appl..

Structured Data Fusion

Lieven De Lathauwer, Laurent Sorber, Marc Van Barel, 2015, IEEE Journal of Selected Topics in Signal Processing.

Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank-(Lr, Lr, 1) Terms, and a New Generalization

Lieven De Lathauwer, Laurent Sorber, Marc Van Barel, 2013, SIAM J. Optim..

A Block Component Model-Based Blind DS-CDMA Receiver

Lieven De Lathauwer, Dimitri Nion, L. Lathauwer, 2008, IEEE Transactions on Signal Processing.

Exact line and plane search for tensor optimization

Lieven De Lathauwer, Laurent Sorber, Marc Van Barel, 2013, Computational optimization and applications.

What can tensors do in telecommunications? (poster)

Lieven De Lathauwer, Frederik Van Eeghem, 2015 .

Segmentation-based blind source separation (presentatie)

Lieven De Lathauwer, Martijn Bousse, 2016 .

Recent Advances in Biomedical Signal Processing

Sabine Van Huffel, Misha Pavel, Alberto Olivares, 2012 .

Numerical Solution of Bivariate and Polyanalytic Polynomial Systems

Lieven De Lathauwer, Laurent Sorber, Marc Van Barel, 2014, SIAM J. Numer. Anal..

SVD-based methodologies for fetal electrocardiogram extraction

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Delayed exponential fitting by best tensor rank-(R/sub 1/, R/sub 2/, R/sub 3/) approximation

Lieven De Lathauwer, Karim Abed-Meraim, Rémy Boyer, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank-(Lr, n, Lr, n, 1) Terms - Part I: Uniqueness

Lieven De Lathauwer, Mikael Sørensen, L. Lathauwer, 2015, SIAM J. Matrix Anal. Appl..

Tensor-Based Large-Scale Blind System Identification Using Segmentation

Lieven De Lathauwer, Otto Debals, Martijn Bousse, 2017, IEEE Transactions on Signal Processing.

Tensorlab 3.0 — Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization

Nico Vervliet, Lieven De Lathauwer, Otto Debals, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Large-scale blind system identification as a structured tensor decomposition

Lieven De Lathauwer, Otto Debals, Martijn Bousse, 2016 .

Stochastic and Deterministic Tensorization for Blind Signal Separation

Lieven De Lathauwer, Otto Debals, L. Lathauwer, 2015, LVA/ICA.

Differential-geometric Newton method for the best rank-(R1, R2, R3) approximation of tensors

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2008, Numerical Algorithms.

Variable Projection Applied to Block Term Decomposition of Higher-Order Tensors

Lieven De Lathauwer, Pierre-Antoine Absil, Guillaume Olikier, 2018, LVA/ICA.

A Block Factor Analysis Based Receiver for Blind Multi-User Access in Wireless Communications

Lieven De Lathauwer, Dimitri Nion, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Tensor-based graph analysis with applications in graph clustering (poster)

Johan A. K. Suykens, Lieven De Lathauwer, Paul Smyth, 2015 .

Coupled matrix-tensor factorizations — The case of partially shared factors

Lieven De Lathauwer, Eleftherios Kofidis, L. Lathauwer, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

An efficient Jacobi-type algorithm for blind equalization of paraunitary channels

Lieven De Lathauwer, Luc Deneire, Mikael Sørensen, 2009, 2009 17th European Signal Processing Conference.

Data analysis using Tensorlab 3.0 (presentation)

Nico Vervliet, Lieven De Lathauwer, Otto Debals, 2016 .

Tensor Tools for Multi-Sensor Processing: Conceptual and Computational Advances

Lieven De Lathauwer, 2013 .

Nonlinear least squares updating of the canonical polyadic decomposition

Nico Vervliet, Lieven De Lathauwer, Michiel Vandecappelle, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Spatially Constrained Independent Component Analysis for real-time eye artifact removal from the electroencephalogram

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2006 .

Efficient algorithms for tensor decompositions

Lieven De Lathauwer, Laurent Sorber, Marc Van Barel, 2012 .

Simulation Study of the Localization of a Near-Surface Crack Using an Air-Coupled Ultrasonic Sensor Array

Lieven De Lathauwer, Vladislav Aleshin, Mikael Sørensen, 2017, Sensors.

Generic Uniqueness of a Structured Matrix Factorization and Applications in Blind Source Separation

Lieven De Lathauwer, Ignat Domanov, L. Lathauwer, 2016, IEEE Journal of Selected Topics in Signal Processing.

A tensor-based framework for blind identification of linear MIMO FIR systems

Lieven De Lathauwer, Otto Debals, Frederik Van Eeghem, 2015 .

Algorithm for imposing SOBI-type constraints on the CP model

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2008, 2008 IEEE International Symposium on Circuits and Systems.

A residual bound for the mixing matrix in ICA

Joos Vandewalle, Lieven De Lathauwer, L. Lathauwer, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Kernel-Based Learning from Infinite Dimensional 2-Way Tensors

Johan A. K. Suykens, Lieven De Lathauwer, Marco Signoretto, 2010, ICANN.

Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition—Part I: Model and Identifiability

Lieven De Lathauwer, Mikael Sørensen, L. Lathauwer, 2017, IEEE Transactions on Signal Processing.

Equivalent Polyadic Decompositions of Matrix Multiplication Tensors pdf

Raphaël M. Jungers, Lieven De Lathauwer, Guillaume O. Berger, 2019, J. Comput. Appl. Math..

An algebraic approach to the blind identification of paraunitary filters

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2000, 2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540).

Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2011, SIAM J. Matrix Anal. Appl..

Levenberg-Marquardt computation of the Block Factor Model for blind multi-user access in wireless communications

Lieven De Lathauwer, Dimitri Nion, 2006, 2006 14th European Signal Processing Conference.

A novel deterministic method for large-scale blind source separation

Lieven De Lathauwer, Otto Debals, Martijn Bousse, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Common pole estimation in multi-channel exponential data modeling

Sabine Van Huffel, Lieven De Lathauwer, Jean-Michel Papy, 2006, Signal Process..

Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications

Nico Vervliet, Lieven De Lathauwer, Otto Debals, 2018, Numer. Linear Algebra Appl..

Multiway methods and their use in neuroscience

Sabine Van Huffel, Maarten De Vos, Katrien Vanderperren, 2007 .

Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures

Lieven De Lathauwer, Jean-François Cardoso, Joséphine Castaing, 2007, IEEE Transactions on Signal Processing.

A Combination of Parallel Factor and Independent Component Analysis

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2022 .

Iterative methods for the canonical decomposition of multi-way arrays: Application to blind underdetermined mixture identification

Laurent Albera, Lieven De Lathauwer, Ahmad Karfoul, 2011, Signal Process..

Coupled rank-(Lm, Ln, •) block term decomposition by coupled block simultaneous generalized Schur decomposition

Nico Vervliet, Lieven De Lathauwer, Qiu-Hua Lin, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The concept of tensorization : applications in blind signal separation (presentation)

Lieven De Lathauwer, Otto Debals, Otto Debals, 2016 .

Blind Identification of Convolutive MIMO Systems with 3 Sources and 2 Sensors

Athina P. Petropulu, Lieven De Lathauwer, Binning Chen, 2002, EURASIP J. Adv. Signal Process..

Irregular heartbeat classification using Kronecker Product Equations

Nico Vervliet, Sabine Van Huffel, Lieven De Lathauwer, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Second order algorithm for imposing independence constraints to the CP model

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2008, ISCAS 2008.

A technique for higher-order-only blind source separation

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 1996 .

On the blind separation of non-circular sources

Bart De Moor, Lieven De Lathauwer, L. Lathauwer, 2002, 2002 11th European Signal Processing Conference.

Block term decomposition for modelling epileptic seizures

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2014, EURASIP J. Adv. Signal Process..

Multidimensional ESPRIT: A coupled canonical polyadic decomposition approach

Lieven De Lathauwer, Mikael Sørensen, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Low multilinear rank tensor approximation via semidefinite programming

Lieven De Lathauwer, Carmeliza Navasca, 2009, 2009 17th European Signal Processing Conference.

The use of total least squares data fitting in the shape-from-moments problem

Sabine Van Huffel, Lieven De Lathauwer, Philippe Lemmerling, 2006, Signal Process..

Structured data fusion using Tensorlab : a demonstration

Nico Vervliet, Lieven De Lathauwer, Laurent Sorber, 2014 .

Swamp reducing technique for tensor decomposition

Lieven De Lathauwer, Stefan Kindermann, Carmeliza Navasca, 2008, 2008 16th European Signal Processing Conference.

A Method to Avoid Diverging Components in the Candecomp/Parafac Model for Generic I˟J˟2 Arrays

Lieven De Lathauwer, Alwin Stegeman, L. Lathauwer, 2008, SIAM J. Matrix Anal. Appl..

From tensor to coupled matrix/tensor decomposition

Lieven De Lathauwer, Laurent Sorber, Marc Van Barel, 2014 .

Generic Uniqueness Conditions for the Canonical Polyadic Decomposition and INDSCAL

Lieven De Lathauwer, Ignat Domanov, L. Lathauwer, 2014, SIAM J. Matrix Anal. Appl..

Higher Order Tensor-Based Method for Delayed Exponential Fitting

Lieven De Lathauwer, Rémy Boyer, Karim Abed-Meraim, 2007, IEEE Transactions on Signal Processing.

Decomposition methods in Neuroscience

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2010 .

Décomposition Canonique de Tableaux Hermitiens Semi-Définis positifs d'ordre pair par rotation procustienne application à l'ICA

Laurent Albera, Lieven De Lathauwer, A Kafoul, 2009 .

Separation Aveugle de Signaux de Type DS-CDMA à l'Aide de Techniques Algebriques'

Lieven De Lathauwer, Joséphine Castaing, Lieven De Lathauwer, 2005 .

Flexible fusion of electroencephalography and functional magnetic resonance imaging: Revealing neural-hemodynamic coupling through structured matrix-tensor factorization

Simon Van Eyndhoven, Sabine Van Huffel, Lieven De Lathauwer, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Tensor-based algorithms for the analysis of data similarity in a blind system identification context

Lieven De Lathauwer, Otto Debals, Frederik Van Eeghem, 2014 .

From computation to comparison of tensor decompositions pdf

Lieven De Lathauwer, Ignat Domanov, L. Lathauwer, 2019, SIAM J. Matrix Anal. Appl..

Second-order tensor-based convolutive ICA: Deconvolution versus tensorization

Lieven De Lathauwer, Frederik Van Eeghem, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Blind Separation of Exponential Polynomials and the Decomposition of a Tensor in Rank-(Lr, Lr, 1) Terms

Lieven De Lathauwer, L. Lathauwer, L. D. Lathauwer, 2011, SIAM J. Matrix Anal. Appl..

A QR-type reduction for computing the SVD of a general matrix product/quotient

Bart De Moor, Lieven De Lathauwer, Delin Chu, 2003, Numerische Mathematik.

On the Computation of the Restricted Singular Value Decomposition via the Cosine-Sine Decomposition

Bart De Moor, Lieven De Lathauwer, Delin Chu, 2000, SIAM J. Matrix Anal. Appl..

A Multilinear Singular Value Decomposition

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2000, SIAM J. Matrix Anal. Appl..

Canonical Polyadic Decomposition with a Columnwise Orthonormal Factor Matrix

Pierre Comon, Lieven De Lathauwer, Luc Deneire, 2012, SIAM J. Matrix Anal. Appl..

Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition

Lieven De Lathauwer, Johan Schoukens, Philippe Dreesen, 2015, LVA/ICA.

An algebraic ICA algorithm for 3 sources and 2 sensors

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2000, 2000 10th European Signal Processing Conference.

Hybrid clustering of multi-view data via HOSVD

Lieven De Lathauwer, Wolfgang Glänzel, Xinhai Liu, 2010 .

A Randomized Block Sampling Approach to Canonical Polyadic Decomposition of Large-Scale Tensors

Nico Vervliet, Lieven De Lathauwer, L. Lathauwer, 2016, IEEE Journal of Selected Topics in Signal Processing.

Improved non-parametric sparse recovery with data matched penalties

Johan A. K. Suykens, Lieven De Lathauwer, Kristiaan Pelckmans, 2010, 2010 2nd International Workshop on Cognitive Information Processing.

Exploiting Efficient Representations in Large-Scale Tensor Decompositions

Nico Vervliet, Lieven De Lathauwer, Otto Debals, 2019, SIAM J. Sci. Comput..

Tensor-based techniques for the blind separation of DS-CDMA signals

Lieven De Lathauwer, Joséphine Castaing, L. Lathauwer, 2007, Signal Process..

Coupled tensor decompositions for applications in array signal processing

Lieven De Lathauwer, Mikael Sørensen, L. Lathauwer, 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Thin QR and SVD factorizations for simultaneous blind signal extraction

Sergio Cruces, Andrzej Cichocki, Lieven De Lathauwer, 2004, 2004 12th European Signal Processing Conference.

A kernel-based framework to tensorial data analysis

Johan A. K. Suykens, Lieven De Lathauwer, Marco Signoretto, 2011, Neural Networks.

Tensorlab : A toolbox for (multilinear) data analysis (presentation)

Nico Vervliet, Lieven De Lathauwer, Otto Debals, 2016 .

Blind MIMO system identification based on cross-polyspectra

Bart De Moor, Athina P. Petropulu, Lieven De Lathauwer, 2000, 2000 10th European Signal Processing Conference.

A Shift Invariance-Based Order-Selection Technique for Exponential Data Modelling

Sabine Van Huffel, Lieven De Lathauwer, Jean-Michel Papy, 2007, IEEE Signal Processing Letters.

SINGLE-CHANNEL EEG CLASSIFICATION BY MULTI-CHANNEL TENSOR SUBSPACE LEARNING AND REGRESSION

Simon Van Eyndhoven, Sabine Van Huffel, Lieven De Lathauwer, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Nonnegative Matrix Factorization Using Nonnegative Polynomial Approximations

Lieven De Lathauwer, Marc Van Barel, Otto Debals, 2017, IEEE Signal Processing Letters.

Independent component analysis and (simultaneous) third-order tensor diagonalization

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2001, IEEE Trans. Signal Process..

An enhanced line search scheme for complex-valued tensor decompositions. Application in DS-CDMA

Lieven De Lathauwer, Dimitri Nion, L. Lathauwer, 2008, Signal Process..

Early soft and flexible fusion of EEG and fMRI via tensor decompositions pdf

Sabine Van Huffel, Lieven De Lathauwer, Sergios Theodoridis, 2020, ArXiv.

Computation of the Canonical Decomposition by Means of a Simultaneous Generalized Schur Decomposition

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2005, SIAM J. Matrix Anal. Appl..

Dimensionality Reduction in ICA and Rank-(R1, R2, ..., RN) Reduction in Multilinear Algebra

Joos Vandewalle, Lieven De Lathauwer, L. Lathauwer, 2004, ICA.

Tensor decompositions with block-Toeplitz structure and applications in signal processing

Lieven De Lathauwer, Mikael Sørensen, L. Lathauwer, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Advances in Signal Processing and Numerical Computation

Lieven De Lathauwer, L. Lathauwer, L. D. Lathauwer, 2014 .

Blind identification of complex convolutive MIMO systems with 3 sources and 2 sensors

Athina P. Petropulu, Lieven De Lathauwer, Binning Chen, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Survey of specific electric consumptions and consumption profiles of domestic appliances

Lieven De Lathauwer, Bart De Moor, Tony Van Gestel, 2000 .

Decomposition Techniques In Neuroscience

Lieven De Lathauwer, M. De Vos, S. Van Huffel, 2011 .

Blind Identification of Underdetermined Mixtures by Simultaneous Matrix Diagonalization

Lieven De Lathauwer, Joséphine Castaing, L. Lathauwer, 2008, IEEE Transactions on Signal Processing.

Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions

Fengyu Cong, Lieven De Lathauwer, Qiu-Hua Lin, 2019, Signal Process. Image Commun..

Imposing Independence Constraints in the CP Model

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2007, ICA.

Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas

Sabine Van Huffel, Lieven De Lathauwer, Uwe Himmelreich, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Efficiently updating and tracking the dominant kernel principal components

Johan A. K. Suykens, Joos Vandewalle, Bart De Moor, 2007, Neural Networks.

An algebraic technique for the blind separation of DS-CDMA signals

Lieven De Lathauwer, Joséphine Castaing, L. Lathauwer, 2004, 2004 12th European Signal Processing Conference.

Blind Multichannel Deconvolution and Convolutive Extensions of Canonical Polyadic and Block Term Decompositions

Lieven De Lathauwer, Mikael Sørensen, Frederik Van Eeghem, 2017, IEEE Transactions on Signal Processing.

A variable projection method for block term decomposition of higher-order tensors

Lieven De Lathauwer, Pierre-Antoine Absil, Guillaume Olikier, 2018, ESANN.

State of the art overview of algorithms for tensor decompositions

Lieven De Lathauwer, Laurent Sorber, Marc Van Barel, 2012 .

Algorithms for Canonical Polyadic Decomposition With Block-Circulant Factors

Lieven De Lathauwer, Frederik Van Eeghem, 2018, IEEE Signal Process. Lett..

Blind signal separation of rational functions using Löwner-based tensorization

Lieven De Lathauwer, Marc Van Barel, Otto Debals, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Blind channel identification of MISO systems based on the CP decomposition of cumulant tensors

Lieven De Lathauwer, Ignat Domanov, 2011, 2011 19th European Signal Processing Conference.

Exponential data fitting using multilinear algebra: the single‐channel and multi‐channel case

Sabine Van Huffel, Lieven De Lathauwer, Jean-Michel Papy, 2005, Numer. Linear Algebra Appl..

Spatially constrained ICA algorithm with an application in EEG processing

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2011, Signal Process..

Second-Order Blind Identification of Underdetermined Mixtures

Lieven De Lathauwer, Joséphine Castaing, L. Lathauwer, 2006, ICA.

Guarantees for existence of a best canonical polyadic approximation of a noisy low-rank tensor pdf

Lieven De Lathauwer, Eric Evert, L. Lathauwer, 2021, SIAM J. Matrix Anal. Appl..

Systems of Polynomial Equations, Higher-Order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part II: The Block Term Decomposition

Lieven De Lathauwer, Patrick Kürschner, Ignat Domanov, 2021, SIAM J. Matrix Anal. Appl..

Hierarchical alternating nonlinear least squares for nonnegative matrix factorization using rational functions

Lieven De Lathauwer, François Glineur, Cécile Hautecoeur, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

A recursive eigenspace computation for the Canonical Polyadic decomposition pdf

Lieven De Lathauwer, Michiel Vandecappelle, Eric Evert, 2021, SIAM J. Matrix Anal. Appl..

Bilinear factorizations subject to monomial equality constraints via tensor decompositions

Lieven De Lathauwer, Mikael Sorensen, N. D. Sidiropoulos, 2021, Linear Algebra and its Applications.

Tensor-Based Multivariate Polynomial Optimization with Application in Blind Identification

Lieven De Lathauwer, Muzaffer Ayvaz, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Systems of Polynomial Equations, Higher-order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part I: The Canonical Polyadic Decomposition

Lieven De Lathauwer, Jeroen Vanderstukken, L. Lathauwer, 2021, SIAM J. Matrix Anal. Appl..

An extension of the generalized SVD for more than two matrices

Lieven De Lathauwer, L. Lathauwer, 2009 .

Decompositions of a higher-order tensor in block terms (plenary talk)

Lieven De Lathauwer, 2007 .

On the uniqueness of the canonical polyadic decomposition of third-order tensors : new sufficient conditions

Lieven De Lathauwer, Ignat Domanov, 2011 .

Block component analysis

Lieven De Lathauwer, Laurent Sorber, Marc Van Barel, 2011 .

On the Largest Multilinear Singular Values of Higher-Order Tensors

Lieven De Lathauwer, Ignat Domanov, Alwin Stegeman, 2016, SIAM J. Matrix Anal. Appl..

ResearchArticle Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study

Sabine Van Huffel, Maarten De Vos, Bart Vanrumste, 2007 .

A singular value decomposition for higher-order tensors

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 1993 .

A short introduction to tensor-based methods for Factor Analysis and Blind Source Separation

Lieven De Lathauwer, L. Lathauwer, L. D. Lathauwer, 2011, 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA).

An algorithm for joint diagnolization by a congruence transformation

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2002 .

Tucker compression and local optima

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2011 .

A survey on stochastic and deterministic tensorization for blind signal separation

Lieven De Lathauwer, Otto Debals, 2015 .

The canonical decomposition and blind identification with more inputs than outputs : Some algebraic results

Lieven De Lathauwer, L. Lathauwer, L. D. Lathauwer, 2003 .

Best multilinear rank approximation of tensors : a trust-region algorithm and local mimina (Best poster award)

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2009 .

Enhanced line search for blind channel identification based on the Parafac decomposition of cumulant tensors

Lieven De Lathauwer, Ignat Domanov, 2010 .

Jacobi Algorithm for Joint Block Diagonalization in Blind Idenfitication

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2002 .

Jacobi Iteration for Spatially Constrained Independent Component Analysis

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2006 .

Independent component analysis of largely underdetermined mixtures

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 2003 .

The generalized higher order singular value decomposition and the oriented signal-to-signal ratios of pairs of signal tensors and their use in signal processing

Joos Vandewalle, Pierre Comon, Lieven De Lathauwer, 2003 .

Computing tensor decompositions with complex and polynomial optimization

Lieven De Lathauwer, Laurent Sorber, Marc Van Barel, 2013 .

Tucker compression, parallel factor analysis and block term decompositions : new results

Lieven De Lathauwer, 2010 .

A combination of independent component and parallel factor analysis

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2010 .

Jacobi-Algorithm for Simultaneous Generalized Schur Decomposition in Higher-Order-Only ICA

Joos Vandewalle, Bart De Moor, Lieven De Lathauwer, 1998 .

Simultaneous Matrix Diagonalization : the Overcomplete Case

Lieven De Lathauwer, L. Lathauwer, 2003 .

Tensor decompositions and signal processing

Lieven De Lathauwer, L. Lathauwer, 2008 .

Efficiently updating and tracking the dominant Kernel Eigenspace

Johan A. K. Suykens, Joos Vandewalle, Lieven De Lathauwer, 2004 .

Unsupervised tissue segmentation of MRSI data using Canonical Correlation Analysis

Sabine Van Huffel, Paul Van Hecke, Lieven De Lathauwer, 2005 .