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    First name: Lieven De
    Last name: Lathauwer
    DBLP: 28/4664
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    Journal article
    Mikael Sørensen, Lieven De Lathauwer.
    Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part II: Algorithm and Multirate Sampling.
    IEEE Trans. Signal Processing 2017, Volume 65 (0) 2017
    Journal article
    Mikael Sørensen, Lieven De Lathauwer.
    Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part I: Model and Identifiability.
    IEEE Trans. Signal Processing 2017, Volume 65 (0) 2017
    Conference paper
    Martijn Bousse, Otto Debals, Lieven De Lathauwer.
    A Tensor-Based Method for Large-Scale Blind Source Separation Using Segmentation.
    IEEE Trans. Signal Processing 2017, Volume 65 (0) 2017
    Conference paper
    Steven Delrue, Vladislav Aleshin, Mikael Sørensen, Lieven De Lathauwer.
    Simulation Study of the Localization of a Near-Surface Crack Using an Air-Coupled Ultrasonic Sensor Array.
    Sensors 2017, Volume 17 (0) 2017
    Conference paper
    Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu 0001, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos.
    Tensor Decomposition for Signal Processing and Machine Learning.
    IEEE Trans. Signal Processing 2017, Volume 65 (0) 2017
    Conference paper
    Frederik Van Eeghem, Mikael Sørensen, Lieven De Lathauwer.
    Tensor Decompositions With Several Block-Hankel Factors and Application in Blind System Identification.
    IEEE Trans. Signal Processing 2017, Volume 65 (0) 2017
    Conference paper
    Mikael Sørensen, Frederik Van Eeghem, Lieven De Lathauwer.
    Blind Multichannel Deconvolution and Convolutive Extensions of Canonical Polyadic and Block Term Decompositions.
    IEEE Trans. Signal Processing 2017, Volume 65 (0) 2017
    Conference paper
    Frederik Van Eeghem, Lieven De Lathauwer.
    Second-order tensor-based convolutive ICA: Deconvolution versus tensorization.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Otto Debals, Marc Van Barel, Lieven De Lathauwer.
    Nonnegative Matrix Factorization Using Nonnegative Polynomial Approximations.
    IEEE Signal Process. Lett. 2017, Volume 24 (0) 2017
    Conference paper
    H. N. Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel.
    Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas.
    IEEE J. Biomedical and Health Informatics 2017, Volume 21 (0) 2017
    Conference paper
    Martijn Bousse, Otto Debals, Lieven De Lathauwer.
    Tensor-Based Large-Scale Blind System Identification Using Segmentation.
    IEEE Trans. Signal Processing 2017, Volume 65 (0) 2017
    Conference paper
    Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer.
    Nonlinear least squares updating of the canonical polyadic decomposition.
    25th European Signal Processing Conference, EUSIPCO 2017, Kos, Greece, August 28 - September 2, 2017 2017 (0) 2017
    Conference paper
    Simon Van Eyndhoven, Borbála Hunyadi, Lieven De Lathauwer, Sabine Van Huffel.
    Flexible fusion of electroencephalography and functional magnetic resonance imaging: Revealing neural-hemodynamic coupling through structured matrix-tensor factorization.
    25th European Signal Processing Conference, EUSIPCO 2017, Kos, Greece, August 28 - September 2, 2017 2017 (0) 2017
    Conference paper
    Martijn Bousse, Griet Goovaerts, Nico Vervliet, Otto Debals, Sabine Van Huffel, Lieven De Lathauwer.
    Irregular heartbeat classification using Kronecker Product Equations.
    2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, July 11-15, 2017 2017 (0) 2017
    Journal article
    Laurent Sorber, Ignat Domanov, Marc Van Barel, Lieven De Lathauwer.
    Exact line and plane search for tensor optimization.
    Comp. Opt. and Appl. 2016, Volume 63 (0) 2016
    Conference paper
    Nico Vervliet, Lieven De Lathauwer.
    A Randomized Block Sampling Approach to Canonical Polyadic Decomposition of Large-Scale Tensors.
    J. Sel. Topics Signal Processing 2016, Volume 10 (0) 2016
    Conference paper
    Otto Debals, Marc Van Barel, Lieven De Lathauwer.
    Löwner-Based Blind Signal Separation of Rational Functions With Applications.
    IEEE Transactions on Signal Processing 2016, Volume 64 (0) 2016
    Conference paper
    Ignat Domanov, Lieven De Lathauwer.
    Generic Uniqueness of a Structured Matrix Factorization and Applications in Blind Source Separation.
    J. Sel. Topics Signal Processing 2016, Volume 10 (0) 2016
    Conference paper
    Xiao-Feng Gong, Qiu-Hua Lin, Otto Debals, Nico Vervliet, Lieven De Lathauwer.
    Coupled rank-(Lm, Ln, ) block term decomposition by coupled block simultaneous generalized Schur decomposition.
    2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, March 20-25, 2016 2016 (0) 2016
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer.
    Multiple Invariance ESPRIT for Nonuniform Linear Arrays: A Coupled Canonical Polyadic Decomposition Approach.
    IEEE Transactions on Signal Processing 2016, Volume 64 (0) 2016
    Conference paper
    Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu 0001, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos.
    Tensor Decomposition for Signal Processing and Machine Learning.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer.
    Shift invariance, incomplete arrays and coupled CPD: A case study.
    2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Rio de Janerio, Brazil, July 10-13, 2016 2016 (0) 2016
    Conference paper
    Martijn Bousse, Otto Debals, Lieven De Lathauwer.
    A tensor-based method for large-scale blind system identification using segmentation.
    24th European Signal Processing Conference, EUSIPCO 2016, Budapest, Hungary, August 29 - September 2, 2016 2016 (0) 2016
    Conference paper
    H. N. Bharath, Nicolas Sauwen, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel.
    Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas.
    24th European Signal Processing Conference, EUSIPCO 2016, Budapest, Hungary, August 29 - September 2, 2016 2016 (0) 2016
    Conference paper
    Nico Vervliet, Otto Debals, Lieven De Lathauwer.
    Tensorlab 3.0 - Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization.
    50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, Pacific Grove, CA, USA, November 6-9, 2016 2016 (0) 2016
    Conference paper
    Andrzej Cichocki, Danilo P. Mandic, Lieven De Lathauwer, Guoxu Zhou, Qibin Zhao, Cesar F. Caiafa, Anh Huy Phan.
    Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis.
    IEEE Signal Process. Mag. 2015, Volume 32 (0) 2015
    Conference paper
    Laurent Sorber, Marc Van Barel, Lieven De Lathauwer.
    Structured Data Fusion.
    J. Sel. Topics Signal Processing 2015, Volume 9 (0) 2015
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer.
    Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank-(L
    SIAM J. Matrix Analysis Applications 2015, Volume 36 (0) 2015
    Conference paper
    Otto Debals, Marc Van Barel, Lieven De Lathauwer.
    Blind signal separation of rational functions using Löwner-based tensorization.
    2015 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2015, South Brisbane, Queensland, Australia, April 19-24, 2015 2015 (0) 2015
    Conference paper
    Otto Debals, Lieven De Lathauwer.
    Stochastic and Deterministic Tensorization for Blind Signal Separation.
    Latent Variable Analysis and Signal Separation - 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings 2015 (0) 2015
    Conference paper
    Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens.
    Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition.
    Latent Variable Analysis and Signal Separation - 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings 2015 (0) 2015
    Conference paper
    Mikael Sørensen, Ignat Domanov, Lieven De Lathauwer.
    Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank- (L
    SIAM J. Matrix Analysis Applications 2015, Volume 36 (0) 2015
    Conference paper
    H. N. Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel.
    Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging.
    37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, August 25-29, 2015 2015 (0) 2015
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer.
    New Uniqueness Conditions for the Canonical Polyadic Decomposition of Third-Order Tensors.
    SIAM J. Matrix Analysis Applications 2015, Volume 36 (0) 2015
    Conference paper
    Ignat Domanov, Lieven De Lathauwer.
    Generic Uniqueness Conditions for the Canonical Polyadic Decomposition and INDSCAL.
    SIAM J. Matrix Analysis Applications 2015, Volume 36 (0) 2015
    Conference paper
    Martijn Bousse, Otto Debals, Lieven De Lathauwer.
    A novel deterministic method for large-scale blind source separation.
    23rd European Signal Processing Conference, EUSIPCO 2015, Nice, France, August 31 - September 4, 2015 2015 (0) 2015
    Conference paper
    Marco Signoretto, Dinh Quoc Tran, Lieven De Lathauwer, Johan A. K. Suykens.
    Learning with tensors: a framework based on convex optimization and spectral regularization.
    Machine Learning 2014, Volume 94 (0) 2014
    Conference paper
    Ignat Domanov, Lieven De Lathauwer.
    Canonical Polyadic Decomposition of Third-Order Tensors: Reduction to Generalized Eigenvalue Decomposition.
    SIAM J. Matrix Analysis Applications 2014, Volume 35 (0) 2014
    Journal article
    Dario Bini, Lieven De Lathauwer, Nicola Mastronardi, Marc Van Barel, Raf Vandebril, Paul Van Dooren.
    Introduction to the special issue.
    J. Computational Applied Mathematics 2014, Volume 272 (0) 2014
    Conference paper
    Laurent Sorber, Marc Van Barel, Lieven De Lathauwer.
    Numerical Solution of Bivariate and Polyanalytic Polynomial Systems.
    SIAM J. Numerical Analysis 2014, Volume 52 (0) 2014
    Conference paper
    Borbála Hunyadi, Daan Camps, Laurent Sorber, Wim Van Paesschen, Maarten De Vos, Sabine Van Huffel, Lieven De Lathauwer.
    Block term decomposition for modelling epileptic seizures.
    EURASIP J. Adv. Sig. Proc. 2014, Volume 2014 (0) 2014
    Conference paper
    Nico Vervliet, Otto Debals, Laurent Sorber, Lieven De Lathauwer.
    Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis.
    IEEE Signal Process. Mag. 2014, Volume 31 (0) 2014
    Conference paper
    Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, Cesar F. Caiafa, Guoxu Zhou, Qibin Zhao, Lieven De Lathauwer.
    Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer.
    Multidimensional ESPRIT: A coupled canonical polyadic decomposition approach.
    IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014, A Coruna, Spain, June 22-25, 2014 2014 (0) 2014
    Conference paper
    Laurent Sorber, Marc Van Barel, Lieven De Lathauwer.
    Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank-(L
    SIAM Journal on Optimization 2013, Volume 23 (0) 2013
    Conference paper
    Ignat Domanov, Lieven De Lathauwer.
    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 Analysis Applications 2013, Volume 34 (0) 2013
    Conference paper
    Ignat Domanov, Lieven De Lathauwer.
    On the Uniqueness of the Canonical Polyadic Decomposition of Third-Order Tensors - Part II: Uniqueness of the Overall Decomposition.
    SIAM J. Matrix Analysis Applications 2013, Volume 34 (0) 2013
    Journal article
    Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens.
    Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer.
    Blind Signal Separation via Tensor Decomposition With Vandermonde Factor: Canonical Polyadic Decomposition.
    IEEE Transactions on Signal Processing 2013, Volume 61 (0) 2013
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer.
    Coupled tensor decompositions for applications in array signal processing.
    5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013, St. Martin, France, December 15-18, 2013 2013 (0) 2013
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer, Sylvie Icart, Luc Deneire.
    On Jacobi-type methods for blind equalization of paraunitary channels.
    Signal Processing 2012, Volume 92 (0) 2012
    Conference paper
    Lieven De Lathauwer.
    Block Component Analysis, a New Concept for Blind Source Separation.
    Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012. Proceedings 2012 (0) 2012
    Conference paper
    Marco Signoretto, Emanuele Olivetti, Lieven De Lathauwer, Johan A. K. Suykens.
    Classification of Multichannel Signals With Cumulant-Based Kernels.
    IEEE Transactions on Signal Processing 2012, Volume 60 (0) 2012
    Conference paper
    Maarten De Vos, Dimitri Nion, Sabine Van Huffel, Lieven De Lathauwer.
    A combination of parallel factor and independent component analysis.
    Signal Processing 2012, Volume 92 (0) 2012
    Conference paper
    Laurent Sorber, Marc Van Barel, Lieven De Lathauwer.
    Unconstrained Optimization of Real Functions in Complex Variables.
    SIAM Journal on Optimization 2012, Volume 22 (0) 2012
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer, Pierre Comon, Sylvie Icart, Luc Deneire.
    Canonical Polyadic Decomposition with a Columnwise Orthonormal Factor Matrix.
    SIAM J. Matrix Analysis Applications 2012, Volume 33 (0) 2012
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer.
    Tensor decompositions with Vandermonde factor and applications in signal processing.
    Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers, ACSCC 2012, Pacific Grove, CA, USA, November 4-7, 2012 2012 (0) 2012
    Journal article
    Mariya Ishteva, Pierre-Antoine Absil, Sabine Van Huffel, Lieven De Lathauwer.
    Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme.
    SIAM J. Matrix Analysis Applications 2011, Volume 32 (0) 2011
    Conference paper
    Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel.
    Spatially constrained ICA algorithm with an application in EEG processing.
    Signal Processing 2011, Volume 91 (0) 2011
    Conference paper
    Ahmad Karfoul, Laurent Albera, Lieven De Lathauwer.
    Iterative methods for the canonical decomposition of multi-way arrays: Application to blind underdetermined mixture identification.
    Signal Processing 2011, Volume 91 (0) 2011
    Conference paper
    Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens.
    A kernel-based framework to tensorial data analysis.
    Neural Networks 2011, Volume 24 (0) 2011
    Conference paper
    Lieven De Lathauwer.
    Blind Separation of Exponential Polynomials and the Decomposition of a Tensor in Rank-(L
    SIAM J. Matrix Analysis Applications 2011, Volume 32 (0) 2011
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer.
    Tensor decompositions with block-Toeplitz structure and applications in signal processing.
    Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers, ACSCC 2011, Pacific Grove, CA, USA, November 6-9, 2011 2011 (0) 2011
    Conference paper
    Ignat Domanov, Lieven De Lathauwer.
    Blind channel identification of MISO systems based on the CP decomposition of cumulant tensors.
    Proceedings of the 19th European Signal Processing Conference, EUSIPCO 2011, Barcelona, Spain, August 29 - Sept. 2, 2011 2011 (0) 2011
    Conference paper
    Xinhai Liu, Lieven De Lathauwer, Frizo A. L. Janssens, Bart De Moor.
    Hybrid Clustering of Multiple Information Sources via HOSVD.
    Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II 2010 (0) 2010
    Conference paper
    Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens.
    Kernel-Based Learning from Infinite Dimensional 2-Way Tensors.
    Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II 2010 (0) 2010
    Conference paper
    Dimitri Nion, Bart Vandewoestyne, Siegfried Vanaverbeke, Koen Van Den Abeele, Herbert De Gersem, Lieven De Lathauwer.
    A Time-Frequency Technique for Blind Separation and Localization of Pure Delayed Sources.
    Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010. Proceedings 2010 (0) 2010
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer, Luc Deneire.
    Parafac with orthogonality in one mode and applications in DS-CDMA systems.
    Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA 2010 (0) 2010
    Conference paper
    Marco Signoretto, Kristiaan Pelckmans, Lieven De Lathauwer, Johan A. K. Suykens.
    Improved non-parametric sparse recovery with data matched penalties.
    2nd International Workshop on Cognitive Information Processing, CIP 2010, Elba, Italy, 14-16 June, 2010 2010 (0) 2010
    Conference paper
    Lieven De Lathauwer.
    A Survey of Tensor Methods.
    International Symposium on Circuits and Systems (ISCAS 2009), 24-17 May 2009, Taipei, Taiwan 2009 (0) 2009
    Conference paper
    Mikael Sørensen, Lieven De Lathauwer, Luc Deneire.
    An efficient Jacobi-type algorithm for blind equalization of paraunitary channels.
    17th European Signal Processing Conference, EUSIPCO 2009, Glasgow, Scotland, UK, August 24-28, 2009 2009 (0) 2009
    Conference paper
    Carmeliza Navasca, Lieven De Lathauwer.
    Low multilinear rank tensor approximation via semidefinite programming.
    17th European Signal Processing Conference, EUSIPCO 2009, Glasgow, Scotland, UK, August 24-28, 2009 2009 (0) 2009
    Conference paper
    Pierre-Antoine Absil, Mariya Ishteva, Lieven De Lathauwer, Sabine Van Huffel.
    A Geometric Newton Method for Oja's Vector Field.
    Neural Computation 2009, Volume 21 (0) 2009
    Conference paper
    Mariya Ishteva, Lieven De Lathauwer, Pierre-Antoine Absil, Sabine Van Huffel.
    Differential-geometric Newton method for the best rank-(
    Numerical Algorithms 2009, Volume 51 (0) 2009
    Journal article
    Lieven De Lathauwer, Dimitri Nion.
    Decompositions of a Higher-Order Tensor in Block Terms - Part III: Alternating Least Squares Algorithms.
    SIAM J. Matrix Analysis Applications 2008, Volume 30 (0) 2008
    Journal article
    Lieven De Lathauwer, Pierre Comon, Nicola Mastronardi.
    Special Issue on Tensor Decompositions and Applications.
    SIAM J. Matrix Analysis Applications 2008, Volume 30 (0) 2008
    Journal article
    Alwin Stegeman, Lieven De Lathauwer.
    A Method to Avoid Diverging Components in the Candecomp/Parafac Model for Generic IJ2 Arrays.
    SIAM J. Matrix Analysis Applications 2008, Volume 30 (0) 2008
    Journal article
    Lieven De Lathauwer.
    Decompositions of a Higher-Order Tensor in Block Terms - Part I: Lemmas for Partitioned Matrices.
    SIAM J. Matrix Analysis Applications 2008, Volume 30 (0) 2008
    Journal article
    Lieven De Lathauwer.
    Decompositions of a Higher-Order Tensor in Block Terms - Part II: Definitions and Uniqueness.
    SIAM J. Matrix Analysis Applications 2008, Volume 30 (0) 2008
    Conference paper
    Carmeliza Navasca, Lieven De Lathauwer, Stefan Kindermann 0001.
    Swamp reducing technique for tensor decomposition.
    2008 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008 2008 (0) 2008
    Conference paper
    Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel.
    Algorithm for imposing SOBI-type constraints on the CP model.
    International Symposium on Circuits and Systems (ISCAS 2008), 18-21 May 2008, Sheraton Seattle Hotel, Seattle, Washington, USA 2008 (0) 2008
    Conference paper
    Dimitri Nion, Lieven De Lathauwer.
    An enhanced line search scheme for complex-valued tensor decompositions. Application in DS-CDMA.
    Signal Processing 2008, Volume 88 (0) 2008
    Conference paper
    Lieven De Lathauwer, Joséphine Castaing.
    Blind Identification of Underdetermined Mixtures by Simultaneous Matrix Diagonalization.
    IEEE Transactions on Signal Processing 2008, Volume 56 (0) 2008
    Conference paper
    Lieven De Lathauwer, Alexandre de Baynast.
    Blind Deconvolution of DS-CDMA Signals by Means of Decomposition in Rank-(1, L, L) Terms.
    IEEE Transactions on Signal Processing 2008, Volume 56 (0) 2008
    Conference paper
    Dimitri Nion, Lieven De Lathauwer.
    A Block Component Model-Based Blind DS-CDMA Receiver.
    IEEE Transactions on Signal Processing 2008, Volume 56 (0) 2008
    Journal article
    Jean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel.
    A Shift Invariance-Based Order-Selection Technique for Exponential Data Modelling.
    IEEE Signal Process. Lett. 2007, Volume 14 (0) 2007
    Journal article
    Maarten De Vos, Lieven De Lathauwer, Bart Vanrumste, Sabine Van Huffel, Wim Van Paesschen.
    Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study.
    Comp. Int. and Neurosc. 2007, Volume 2007 (0) 2007
    Conference paper
    Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel.
    Imposing Independence Constraints in the CP Model.
    Independent Component Analysis and Signal Separation, 7th International Conference, ICA 2007, London, UK, September 9-12, 2007. 2007 (0) 2007
    Conference paper
    Luc Hoegaerts, Lieven De Lathauwer, Ivan Goethals, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor.
    Efficiently updating and tracking the dominant kernel principal components.
    Neural Networks 2007, Volume 20 (0) 2007
    Conference paper
    Lieven De Lathauwer, Joséphine Castaing.
    Tensor-based techniques for the blind separation of DS-CDMA signals.
    Signal Processing 2007, Volume 87 (0) 2007
    Conference paper
    Rémy Boyer, Lieven De Lathauwer, Karim Abed-Meraim.
    Higher Order Tensor-Based Method for Delayed Exponential Fitting.
    IEEE Transactions on Signal Processing 2007, Volume 55 (0) 2007
    Conference paper
    Lieven De Lathauwer, Joséphine Castaing, Jean-François Cardoso.
    Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures.
    IEEE Transactions on Signal Processing 2007, Volume 55 (0) 2007
    Journal article
    Lieven De Lathauwer.
    A Link between the Canonical Decomposition in Multilinear Algebra and Simultaneous Matrix Diagonalization.
    SIAM J. Matrix Analysis Applications 2006, Volume 28 (0) 2006
    Conference paper
    Dimitri Nion, Lieven De Lathauwer.
    A Block Factor Analysis Based Receiver for Blind Multi-User Access in Wireless Communications.
    2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006 2006 (0) 2006
    Conference paper
    Dimitri Nion, Lieven De Lathauwer.
    Levenberg-Marquardt computation of the Block Factor Model for blind multi-user access in wireless communications.
    14th European Signal Processing Conference, EUSIPCO 2006, Florence, Italy, September 4-8, 2006 2006 (0) 2006
    Conference paper
    Lieven De Lathauwer, Joséphine Castaing.
    Second-Order Blind Identification of Underdetermined Mixtures.
    Independent Component Analysis and Blind Signal Separation, 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings 2006 (0) 2006
    Conference paper
    Jean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel.
    Common pole estimation in multi-channel exponential data modeling.
    Signal Processing 2006, Volume 86 (0) 2006
    Conference paper
    M. Schuermans, Philippe Lemmerling, Lieven De Lathauwer, Sabine Van Huffel.
    The use of total least squares data fitting in the shape-from-moments problem.
    Signal Processing 2006, Volume 86 (0) 2006
    Conference paper
    Rémy Boyer, Lieven De Lathauwer, Karim Abed-Meraim.
    Delayed exponential fitting by best tensor rank-(R
    2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, Pennsylvania, USA, March 18-23, 2005 2005 (0) 2005
    Journal article
    Lieven De Lathauwer, Bart De Moor, Joos Vandewalle.
    A prewhitening-induced bound on the identification error in independent component analysis.
    IEEE Trans. on Circuits and Systems 2005, Volume 52 (0) 2005
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