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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.

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    Conference paper
    Frederik Van Eeghem, Otto Debals, Lieven De Lathauwer.
    Tensor Similarity in Two Modes.
    IEEE Trans. Signal Processing 2018, Volume 66 (0) 2018
    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
    Show item 1 to 25 of 124  

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