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    Author information
    First name: Lieven De
    Last name: Lathauwer
    DBLP: 28/4664
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    Below you find the publications which have been written by this author.

    Show item 26 to 50 of 124  
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    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
    Show item 26 to 50 of 124  

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