Lieven De Lathauwer

203 papers B 2C 3Misc 13Journal 125Unranked 60

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tensor decompositions for signal processing: Theory, advances, and applications. Signal Process. Neriman Tokcan, Shakir Showkat Sofi, Van Tien Pham, Clémence Prévost, Sofiane Kharbech, Baptiste Magnier, Thanh Phuong Nguyen, Yassine Zniyed, Lieven De Lathauwer
2026	J	`jnl`	Tomography by Design: An Algebraic Approach to Low-Rank Quantum States. CoRR Shakir Showkat Sofi, Charlotte Vermeylen, Lieven De Lathauwer
2025	—	`conf`	Blind Identification of Underdetermined Mixtures via Reduced Tensor Decomposition. EUSIPCO Andreas Devogel, Lieven De Lathauwer
2025	J	`jnl`	Multilinear Singular Value Decomposition-Based Completion with Fibers Observed in a Single Mode. SIAM J. Matrix Anal. Appl. Mikael Sørensen, Stijn Hendrikx, Lieven De Lathauwer
2025	J	`jnl`	Reducing swamp behavior for the canonical polyadic decomposition problem by rank-1 freezing. Numer. Algorithms Charlotte Vermeylen, Nico Vervliet, Lieven De Lathauwer
2025	J	`jnl`	Tensor Train Completion from Fiberwise Observations Along a Single Mode. CoRR Shakir Showkat Sofi, Lieven De Lathauwer
2025	—	`conf`	Tensor Train Quantum State Tomography Using Compressed Sensing. EUSIPCO Shakir Showkat Sofi, Charlotte Vermeylen, Lieven De Lathauwer
2025	J	`jnl`	Tensor Train Quantum State Tomography using Compressed Sensing. CoRR Shakir Showkat Sofi, Charlotte Vermeylen, Lieven De Lathauwer
2024	—	`conf`	A Bézoutian-Based Method for Solving Overdetermined Systems of Polynomial Equations. EUSIPCO Raphaël Widdershoven, Nico Vervliet, Lieven De Lathauwer
2024	J	`jnl`	A Fast Algorithm for Computing Macaulay Null Spaces of Bivariate Polynomial Systems. SIAM J. Matrix Anal. Appl. Nithin Govindarajan, Raphaël Widdershoven, Shivkumar Chandrasekaran, Lieven De Lathauwer
2024	J	`jnl`	Decomposition of a Tensor into Multilinear Rank-${(M_{{r}},N_{{r}},\cdot )}$ Terms. SIAM J. Matrix Anal. Appl. Ignat Domanov, Nico Vervliet, Eric Evert, Lieven De Lathauwer
2024	—	`conf`	Tensor Train Completion of Multi-Way Data Observed Along One Mode. EUSIPCO Shakir Showkat Sofi, Stijn Hendrikx, Lieven De Lathauwer
2023	J	`jnl`	Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. Medical Image Anal. Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel
2023	J	`jnl`	Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions. IEEE Trans. Signal Process. Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur
2023	—	`conf`	Multilinear singular value decomposition of a tensor with fibers observed along one mode SSP Stijn Hendrikx, Mikael Sørensen, Lieven De Lathauwer
2023	J	`jnl`	On Best Low Rank Approximation of Positive Definite Tensors. SIAM J. Matrix Anal. Appl. Eric Evert, Lieven De Lathauwer
2023	—	`conf`	Overdetermined Systems of Polynomial Equations: Tensor-Based Solution and Application. EUSIPCO Raphaël Widdershoven, Nithin Govindarajan, Lieven De Lathauwer
2023	J	`jnl`	Tensorlab Comput. Sci. Eng. Stijn Hendrikx, Raphaël Widdershoven, Nico Vervliet, Lieven De Lathauwer
2023	—	`conf`	Uniqueness Result and Algebraic Algorithm for Decomposition into Multilinear Rank- $(M_{r}, N_{r}, \cdot)$ Terms and Joint Block Diagonalization. CAMSAP Eric Evert, Nico Vervliet, Ignat Domanov, Lieven De Lathauwer
2022	J	`jnl`	$(L_r, L_r, 1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials. SIAM J. Matrix Anal. Appl. Nithin Govindarajan, Ethan N. Epperly, Lieven De Lathauwer
2022	J	`jnl`	A Recursive Eigenspace Computation for the Canonical Polyadic Decomposition. SIAM J. Matrix Anal. Appl. Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer
2022	J	`jnl`	Block Row Kronecker-Structured Linear Systems With a Low-Rank Tensor Solution. Frontiers Appl. Math. Stat. Stijn Hendrikx, Lieven De Lathauwer
2022	Misc	`conf`	CPD Computation via Recursive Eigenspace Decompositions. ICASSP Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer
2022	J	`jnl`	CPD-Structured Multivariate Polynomial Optimization. Frontiers Appl. Math. Stat. Muzaffer Ayvaz, Lieven De Lathauwer
2022	J	`jnl`	Canonical Polyadic Decomposition via the Generalized Schur Decomposition. IEEE Signal Process. Lett. Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer
2022	J	`jnl`	Canonical Polyadic Decomposition via the generalized Schur decomposition. CoRR Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer
2022	J	`jnl`	Equivalent polyadic decompositions of matrix multiplication tensors. J. Comput. Appl. Math. Guillaume O. Berger, Pierre-Antoine Absil, Lieven De Lathauwer, Raphaël M. Jungers, Marc Van Barel
2022	J	`jnl`	Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation. CoRR Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel
2022	J	`jnl`	From multilinear SVD to multilinear UTV decomposition. Signal Process. Michiel Vandecappelle, Lieven De Lathauwer
2022	J	`jnl`	Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor. SIAM J. Matrix Anal. Appl. Eric Evert, Lieven De Lathauwer
2022	J	`jnl`	Least-squares methods for nonnegative matrix factorization over rational functions. CoRR Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur
2022	J	`jnl`	Regression and Classification With Spline-Based Separable Expansions. Frontiers Big Data Nithin Govindarajan, Nico Vervliet, Lieven De Lathauwer
2022	J	`jnl`	Updating the Multilinear UTV Decomposition. IEEE Trans. Signal Process. Michiel Vandecappelle, Lieven De Lathauwer
2021	J	`jnl`	A recursive eigenspace computation for the Canonical Polyadic decomposition. CoRR Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer
2021	J	`jnl`	From Computation to Comparison of Tensor Decompositions. SIAM J. Matrix Anal. Appl. Ignat Domanov, Lieven De Lathauwer
2021	J	`jnl`	Guarantees for existence of a best canonical polyadic approximation of a noisy low-rank tensor. CoRR Eric Evert, Lieven De Lathauwer
2021	—	`conf`	Hierarchical alternating nonlinear least squares for nonnegative matrix factorization using rational functions. EUSIPCO Cécile Hautecoeur, François Glineur, Lieven De Lathauwer
2021	J	`jnl`	Inexact Generalized Gauss-Newton for Scaling the Canonical Polyadic Decomposition With Non-Least-Squares Cost Functions. IEEE J. Sel. Top. Signal Process. Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
2021	J	`jnl`	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. Jeroen Vanderstukken, Patrick Kürschner, Ignat Domanov, Lieven De Lathauwer
2021	J	`jnl`	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. Jeroen Vanderstukken, Lieven De Lathauwer
2021	—	`conf`	Tensor-Based Multivariate Polynomial Optimization with Application in Blind Identification. EUSIPCO Muzaffer Ayvaz, Lieven De Lathauwer
2020	—	`conf`	A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. EUSIPCO Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer
2020	J	`jnl`	A Second-Order Method for Fitting the Canonical Polyadic Decomposition With Non-Least-Squares Cost. IEEE Trans. Signal Process. Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
2020	J	`jnl`	Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective. IEEE Signal Process. Mag. Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis
2020	J	`jnl`	Early soft and flexible fusion of EEG and fMRI via tensor decompositions. CoRR Christos Chatzichristos, Eleftherios Kofidis, Lieven De Lathauwer, Sergios Theodoridis, Sabine Van Huffel
2020	J	`jnl`	Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors. CoRR Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis
2020	J	`jnl`	On Uniqueness and Computation of the Decomposition of a Tensor into Multilinear Rank-(1, L SIAM J. Matrix Anal. Appl. Ignat Domanov, Lieven De Lathauwer
2019	—	`conf`	Algebraic and Optimization Based Algorithms for Multivariate Regression Using Symmetric Tensor Decomposition. CAMSAP Stijn Hendrikx, Martijn Boussé, Nico Vervliet, Lieven De Lathauwer
2019	Misc	`conf`	Canonical Polyadic Decomposition of a Tensor That Has Missing Fibers: A Monomial Factorization Approach. ICASSP Mikael Sørensen, Nicholas D. Sidiropoulos, Lieven De Lathauwer
2019	J	`jnl`	Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions. Signal Process. Image Commun. Xiao-Feng Gong, Qiu-Hua Lin, Fengyu Cong, Lieven De Lathauwer
2019	J	`jnl`	Equivalent Polyadic Decompositions of Matrix Multiplication Tensors. CoRR Guillaume O. Berger, Pierre-Antoine Absil, Lieven De Lathauwer, Raphaël M. Jungers, Marc Van Barel
2019	J	`jnl`	Exploiting Efficient Representations in Large-Scale Tensor Decompositions. SIAM J. Sci. Comput. Nico Vervliet, Otto Debals, Lieven De Lathauwer
2019	J	`jnl`	Fiber Sampling Approach to Canonical Polyadic Decomposition and Application to Tensor Completion. SIAM J. Matrix Anal. Appl. Mikael Sørensen, Lieven De Lathauwer
2019	J	`jnl`	From computation to comparison of tensor decompositions. CoRR Ignat Domanov, Lieven De Lathauwer
2019	—	`conf`	Identifying Stable Components of Matrix /Tensor Factorizations via Low-Rank Approximation of Inter-Factorization Similarity. EUSIPCO Simon Van Eyndhoven, Nico Vervliet, Lieven De Lathauwer, Sabine Van Huffel
2019	Misc	`conf`	Low Multilinear Rank Updating. ACSSC Michiel Vandecappelle, Lieven De Lathauwer
2019	—	`conf`	Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions. EMBC Alexander Caicedo, Ofelie De Wel, Michiel Vandecappelle, Liesbeth Thewissen, Anne Smits, Karel Allegaert, Lieven De Lathauwer, Gunnar Naulaers, Sabine Van Huffel
2019	—	`conf`	NLS Algorithm for Kronecker-Structured Linear Systems with a CPD Constrained Solution. EUSIPCO Martijn Boussé, Nikos D. Sidiropoulos, Lieven De Lathauwer
2019	—	`conf`	Rank-one Tensor Approximation with Beta-divergence Cost Functions. EUSIPCO Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
2019	J	`jnl`	Rayleigh Quotient Methods for Estimating Common Roots of Noisy Univariate Polynomials. Comput. Methods Appl. Math. Alwin Stegeman, Lieven De Lathauwer
2019	—	`conf`	Recent Numerical and Conceptual Advances for Tensor Decompositions - A Preview of Tensorlab 4.0. DSW Nico Vervliet, Michiel Vandecappelle, Martijn Boussé, Rob Zink, Lieven De Lathauwer
2019	J	`jnl`	Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging. IEEE Trans. Biomed. Eng. Halandur Nagaraja Bharath, Otto Debals, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
2019	—	`conf`	Tensor-based Blind fMRI Source Separation Without the Gaussian Noise Assumption - A β-Divergence Approach. GlobalSIP Christos Chatzichristos, Michiel Vandecappelle, Eleftherios Kofidis, Sergios Theodoridis, Lieven De Lathauwer, Sabine Van Huffel
2018	B	`conf`	A variable projection method for block term decomposition of higher-order tensors. ESANN Guillaume Olikier, Pierre-Antoine Absil, Lieven De Lathauwer
2018	J	`jnl`	Algorithms for Canonical Polyadic Decomposition With Block-Circulant Factors. IEEE Signal Process. Lett. Frederik Van Eeghem, Lieven De Lathauwer
2018	Misc	`conf`	CPD Updating Using Low-Rank Weights. ICASSP Michiel Vandecappelle, Martijn Bousse, Nico Vervliet, Lieven De Lathauwer
2018	J	`jnl`	Coupled Canonical Polyadic Decompositions and Multiple Shift Invariance in Array Processing. IEEE Trans. Signal Process. Mikael Sørensen, Ignat Domanov, Lieven De Lathauwer
2018	J	`jnl`	Coupled and Incomplete Tensors in Blind System Identification. IEEE Trans. Signal Process. Frederik Van Eeghem, Otto Debals, Nico Vervliet, Lieven De Lathauwer
2018	J	`jnl`	Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation. IEEE Trans. Signal Process. Xiao-Feng Gong, Qiu-Hua Lin, Fengyu Cong, Lieven De Lathauwer
2018	—	`conf`	Large-Scale Autoregressive System Identification Using Kronecker Product Equations. GlobalSIP Martijn Bousse, Lieven De Lathauwer
2018	J	`jnl`	Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications. Numer. Linear Algebra Appl. Martijn Bousse, Nico Vervliet, Ignat Domanov, Otto Debals, Lieven De Lathauwer
2018	—	`conf`	Single-channel EEG Classification by Multi-channel Tensor subspace Learning and Regression. MLSP Simon Van Eyndhoven, Martijn Bousse, Borbála Hunyadi, Lieven De Lathauwer, Sabine Van Huffel
2018	J	`jnl`	Tensor Similarity in Two Modes. IEEE Trans. Signal Process. Frederik Van Eeghem, Otto Debals, Lieven De Lathauwer
2018	Misc	`conf`	Tensor-basedECG Signal Processing Applied to Atrial Fibrillation Detection. ACSSC Simon Geirnaert, Griet Goovaerts, Sibasankar Padhy, Martijn Bousse, Lieven De Lathauwer, Sabine Van Huffel
2018	—	`conf`	Variable Projection Applied to Block Term Decomposition of Higher-Order Tensors. LVA/ICA Guillaume Olikier, Pierre-Antoine Absil, Lieven De Lathauwer
2017	J	`jnl`	A Tensor-Based Method for Large-Scale Blind Source Separation Using Segmentation. IEEE Trans. Signal Process. Martijn Bousse, Otto Debals, Lieven De Lathauwer
2017	J	`jnl`	Blind Multichannel Deconvolution and Convolutive Extensions of Canonical Polyadic and Block Term Decompositions. IEEE Trans. Signal Process. Mikael Sørensen, Frederik Van Eeghem, Lieven De Lathauwer
2017	Misc	`conf`	Coupled matrix-tensor factorizations - The case of partially shared factors. ACSSC Lieven De Lathauwer, Eleftherios Kofidis
2017	—	`conf`	Face recognition as a kronecker product equation. CAMSAP Martijn Bousse, Nico Vervliet, Otto Debals, Lieven De Lathauwer
2017	—	`conf`	Flexible fusion of electroencephalography and functional magnetic resonance imaging: Revealing neural-hemodynamic coupling through structured matrix-tensor factorization. EUSIPCO Simon Van Eyndhoven, Borbála Hunyadi, Lieven De Lathauwer, Sabine Van Huffel
2017	—	`conf`	Irregular heartbeat classification using Kronecker Product Equations. EMBC Martijn Bousse, Griet Goovaerts, Nico Vervliet, Otto Debals, Sabine Van Huffel, Lieven De Lathauwer
2017	J	`jnl`	Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part I: Model and Identifiability. IEEE Trans. Signal Process. Mikael Sørensen, Lieven De Lathauwer
2017	J	`jnl`	Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part II: Algorithm and Multirate Sampling. IEEE Trans. Signal Process. Mikael Sørensen, Lieven De Lathauwer
2017	—	`conf`	Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights. CAMSAP Martijn Bousse, Lieven De Lathauwer
2017	—	`conf`	Nonlinear least squares updating of the canonical polyadic decomposition. EUSIPCO Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
2017	J	`jnl`	Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas. IEEE J. Biomed. Health Informatics Halandur Nagaraja Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
2017	J	`jnl`	Nonnegative Matrix Factorization Using Nonnegative Polynomial Approximations. IEEE Signal Process. Lett. Otto Debals, Marc Van Barel, Lieven De Lathauwer
2017	J	`jnl`	On the Largest Multilinear Singular Values of Higher-Order Tensors. SIAM J. Matrix Anal. Appl. Ignat Domanov, Alwin Stegeman, Lieven De Lathauwer
2017	Misc	`conf`	Second-order tensor-based convolutive ICA: Deconvolution versus tensorization. ICASSP Frederik Van Eeghem, Lieven De Lathauwer
2017	J	`jnl`	Simulation Study of the Localization of a Near-Surface Crack Using an Air-Coupled Ultrasonic Sensor Array. Sensors Steven Delrue, Vladislav Aleshin, Mikael Sørensen, Lieven De Lathauwer
2017	J	`jnl`	Tensor Decomposition for Signal Processing and Machine Learning. IEEE Trans. Signal Process. Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos
2017	J	`jnl`	Tensor Decompositions With Several Block-Hankel Factors and Application in Blind System Identification. IEEE Trans. Signal Process. Frederik Van Eeghem, Mikael Sørensen, Lieven De Lathauwer
2017	J	`jnl`	Tensor-Based Large-Scale Blind System Identification Using Segmentation. IEEE Trans. Signal Process. Martijn Bousse, Otto Debals, Lieven De Lathauwer
2016	J	`jnl`	A Randomized Block Sampling Approach to Canonical Polyadic Decomposition of Large-Scale Tensors. IEEE J. Sel. Top. Signal Process. Nico Vervliet, Lieven De Lathauwer
2016	—	`conf`	A tensor-based method for large-scale blind system identification using segmentation. EUSIPCO Martijn Bousse, Otto Debals, Lieven De Lathauwer
2016	—	`conf`	Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas. EUSIPCO Halandur Nagaraja Bharath, Nicolas Sauwen, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
2016	Misc	`conf`	Coupled rank-(Lm, Ln, •) block term decomposition by coupled block simultaneous generalized Schur decomposition. ICASSP Xiao-Feng Gong, Qiu-Hua Lin, Otto Debals, Nico Vervliet, Lieven De Lathauwer
2016	J	`jnl`	Exact line and plane search for tensor optimization. Comput. Optim. Appl. Laurent Sorber, Ignat Domanov, Marc Van Barel, Lieven De Lathauwer
2016	J	`jnl`	Generic Uniqueness of a Structured Matrix Factorization and Applications in Blind Source Separation. IEEE J. Sel. Top. Signal Process. Ignat Domanov, Lieven De Lathauwer
2016	J	`jnl`	Löwner-Based Blind Signal Separation of Rational Functions With Applications. IEEE Trans. Signal Process. Otto Debals, Marc Van Barel, Lieven De Lathauwer
2016	J	`jnl`	Multiple Invariance ESPRIT for Nonuniform Linear Arrays: A Coupled Canonical Polyadic Decomposition Approach. IEEE Trans. Signal Process. Mikael Sørensen, Lieven De Lathauwer
2016	—	`conf`	Shift invariance, incomplete arrays and coupled CPD: A case study. SAM Mikael Sørensen, Lieven De Lathauwer
2016	J	`jnl`	Tensor Decomposition for Signal Processing and Machine Learning. CoRR Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos
2016	Misc	`conf`	Tensorlab 3.0 - Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization. ACSSC Nico Vervliet, Otto Debals, Lieven De Lathauwer
2015	—	`conf`	A novel deterministic method for large-scale blind source separation. EUSIPCO Martijn Bousse, Otto Debals, Lieven De Lathauwer
2015	Misc	`conf`	Blind signal separation of rational functions using Löwner-based tensorization. ICASSP Otto Debals, Marc Van Barel, Lieven De Lathauwer
2015	—	`conf`	Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition. LVA/ICA Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens
2015	J	`jnl`	Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank- (L SIAM J. Matrix Anal. Appl. Mikael Sørensen, Ignat Domanov, Lieven De Lathauwer
2015	J	`jnl`	Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank-(L SIAM J. Matrix Anal. Appl. Mikael Sørensen, Lieven De Lathauwer
2015	J	`jnl`	Generic Uniqueness Conditions for the Canonical Polyadic Decomposition and INDSCAL. SIAM J. Matrix Anal. Appl. Ignat Domanov, Lieven De Lathauwer
2015	J	`jnl`	New Uniqueness Conditions for the Canonical Polyadic Decomposition of Third-Order Tensors. SIAM J. Matrix Anal. Appl. Mikael Sørensen, Lieven De Lathauwer
2015	—	`conf`	Stochastic and Deterministic Tensorization for Blind Signal Separation. LVA/ICA Otto Debals, Lieven De Lathauwer
2015	J	`jnl`	Structured Data Fusion. IEEE J. Sel. Top. Signal Process. Laurent Sorber, Marc Van Barel, Lieven De Lathauwer
2015	J	`jnl`	Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. IEEE Signal Process. Mag. Andrzej Cichocki, Danilo P. Mandic, Lieven De Lathauwer, Guoxu Zhou, Qibin Zhao, Cesar F. Caiafa, Anh Huy Phan
2015	—	`conf`	Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging. EMBC Halandur Nagaraja Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
2014	J	`jnl`	Block term decomposition for modelling epileptic seizures. EURASIP J. Adv. Signal Process. Borbála Hunyadi, Daan Camps, Laurent Sorber, Wim Van Paesschen, Maarten De Vos, Sabine Van Huffel, Lieven De Lathauwer
2014	J	`jnl`	Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis. IEEE Signal Process. Mag. Nico Vervliet, Otto Debals, Laurent Sorber, Lieven De Lathauwer
2014	J	`jnl`	Canonical Polyadic Decomposition of Third-Order Tensors: Reduction to Generalized Eigenvalue Decomposition. SIAM J. Matrix Anal. Appl. Ignat Domanov, Lieven De Lathauwer
2014	J	`jnl`	Introduction to the special issue. J. Comput. Appl. Math. Dario A. Bini, Lieven De Lathauwer, Nicola Mastronardi, Marc Van Barel, Raf Vandebril, Paul Van Dooren
2014	J	`jnl`	Learning with tensors: a framework based on convex optimization and spectral regularization. Mach. Learn. Marco Signoretto, Dinh Quoc Tran, Lieven De Lathauwer, Johan A. K. Suykens
2014	—	`conf`	Multidimensional ESPRIT: A coupled canonical polyadic decomposition approach. SAM Mikael Sørensen, Lieven De Lathauwer
2014	J	`jnl`	Numerical Solution of Bivariate and Polyanalytic Polynomial Systems. SIAM J. Numer. Anal. Laurent Sorber, Marc Van Barel, Lieven De Lathauwer
2014	J	`jnl`	Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis. CoRR Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, Cesar F. Caiafa, Guoxu Zhou, Qibin Zhao, Lieven De Lathauwer
2013	J	`jnl`	Blind Signal Separation via Tensor Decomposition With Vandermonde Factor: Canonical Polyadic Decomposition. IEEE Trans. Signal Process. Mikael Sørensen, Lieven De Lathauwer
2013	—	`conf`	Coupled tensor decompositions for applications in array signal processing. CAMSAP Mikael Sørensen, Lieven De Lathauwer
2013	J	`jnl`	Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties. CoRR Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
2013	J	`jnl`	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. Ignat Domanov, Lieven De Lathauwer
2013	J	`jnl`	On the Uniqueness of the Canonical Polyadic Decomposition of Third-Order Tensors - Part II: Uniqueness of the Overall Decomposition. SIAM J. Matrix Anal. Appl. Ignat Domanov, Lieven De Lathauwer
2013	J	`jnl`	Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank-(L SIAM J. Optim. Laurent Sorber, Marc Van Barel, Lieven De Lathauwer
2012	J	`jnl`	A combination of parallel factor and independent component analysis. Signal Process. Maarten De Vos, Dimitri Nion, Sabine Van Huffel, Lieven De Lathauwer
2012	—	`conf`	Block Component Analysis, a New Concept for Blind Source Separation. LVA/ICA Lieven De Lathauwer
2012	J	`jnl`	Canonical Polyadic Decomposition with a Columnwise Orthonormal Factor Matrix. SIAM J. Matrix Anal. Appl. Mikael Sørensen, Lieven De Lathauwer, Pierre Comon, Sylvie Icart, Luc Deneire
2012	J	`jnl`	Classification of Multichannel Signals With Cumulant-Based Kernels. IEEE Trans. Signal Process. Marco Signoretto, Emanuele Olivetti, Lieven De Lathauwer, Johan A. K. Suykens
2012	J	`jnl`	On Jacobi-type methods for blind equalization of paraunitary channels. Signal Process. Mikael Sørensen, Lieven De Lathauwer, Sylvie Icart, Luc Deneire
2012	—	`conf`	Tensor decompositions with Vandermonde factor and applications in signal processing. ACSCC Mikael Sørensen, Lieven De Lathauwer
2012	J	`jnl`	Unconstrained Optimization of Real Functions in Complex Variables. SIAM J. Optim. Laurent Sorber, Marc Van Barel, Lieven De Lathauwer
2011	J	`jnl`	A kernel-based framework to tensorial data analysis. Neural Networks Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
2011	C	`conf`	A short introduction to tensor-based methods for Factor Analysis and Blind Source Separation. ISPA Lieven De Lathauwer
2011	J	`jnl`	Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme. SIAM J. Matrix Anal. Appl. Mariya Ishteva, Pierre-Antoine Absil, Sabine Van Huffel, Lieven De Lathauwer
2011	J	`jnl`	Blind Separation of Exponential Polynomials and the Decomposition of a Tensor in Rank-(L SIAM J. Matrix Anal. Appl. Lieven De Lathauwer
2011	—	`conf`	Blind channel identification of MISO systems based on the CP decomposition of cumulant tensors. EUSIPCO Ignat Domanov, Lieven De Lathauwer
2011	J	`jnl`	Iterative methods for the canonical decomposition of multi-way arrays: Application to blind underdetermined mixture identification. Signal Process. Ahmad Karfoul, Laurent Albera, Lieven De Lathauwer
2011	J	`jnl`	Spatially constrained ICA algorithm with an application in EEG processing. Signal Process. Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel
2011	—	`conf`	Tensor decompositions with block-Toeplitz structure and applications in signal processing. ACSCC Mikael Sørensen, Lieven De Lathauwer
2010	—	`conf`	A Time-Frequency Technique for Blind Separation and Localization of Pure Delayed Sources. LVA/ICA Dimitri Nion, Bart Vandewoestyne, Siegfried Vanaverbeke, Koen Van Den Abeele, Herbert De Gersem, Lieven De Lathauwer
2010	—	`conf`	Hybrid Clustering of Multiple Information Sources via HOSVD. ISNN (2) Xinhai Liu, Lieven De Lathauwer, Frizo A. L. Janssens, Bart De Moor
2010	—	`conf`	Improved non-parametric sparse recovery with data matched penalties. CIP Marco Signoretto, Kristiaan Pelckmans, Lieven De Lathauwer, Johan A. K. Suykens
2010	—	`conf`	Kernel-Based Learning from Infinite Dimensional 2-Way Tensors. ICANN (2) Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
2010	Misc	`conf`	Parafac with orthogonality in one mode and applications in DS-CDMA systems. ICASSP Mikael Sørensen, Lieven De Lathauwer, Luc Deneire
2009	J	`jnl`	A Geometric Newton Method for Oja's Vector Field. Neural Comput. Pierre-Antoine Absil, Mariya Ishteva, Lieven De Lathauwer, Sabine Van Huffel
2009	C	`conf`	A Survey of Tensor Methods. ISCAS Lieven De Lathauwer
2009	—	`conf`	An efficient Jacobi-type algorithm for blind equalization of paraunitary channels. EUSIPCO Mikael Sørensen, Lieven De Lathauwer, Luc Deneire
2009	J	`jnl`	Differential-geometric Newton method for the best rank-( Numer. Algorithms Mariya Ishteva, Lieven De Lathauwer, Pierre-Antoine Absil, Sabine Van Huffel
2009	—	`conf`	Low multilinear rank tensor approximation via semidefinite programming. EUSIPCO Carmeliza Navasca, Lieven De Lathauwer
2008	J	`jnl`	A Block Component Model-Based Blind DS-CDMA Receiver. IEEE Trans. Signal Process. Dimitri Nion, Lieven De Lathauwer
2008	J	`jnl`	A Method to Avoid Diverging Components in the Candecomp/Parafac Model for Generic I˟J˟2 Arrays. SIAM J. Matrix Anal. Appl. Alwin Stegeman, Lieven De Lathauwer
2008	C	`conf`	Algorithm for imposing SOBI-type constraints on the CP model. ISCAS Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel
2008	J	`jnl`	An enhanced line search scheme for complex-valued tensor decompositions. Application in DS-CDMA. Signal Process. Dimitri Nion, Lieven De Lathauwer
2008	J	`jnl`	Blind Deconvolution of DS-CDMA Signals by Means of Decomposition in Rank-(1, L, L) Terms. IEEE Trans. Signal Process. Lieven De Lathauwer, Alexandre de Baynast
2008	J	`jnl`	Blind Identification of Underdetermined Mixtures by Simultaneous Matrix Diagonalization. IEEE Trans. Signal Process. Lieven De Lathauwer, Joséphine Castaing
2008	J	`jnl`	Decompositions of a Higher-Order Tensor in Block Terms - Part I: Lemmas for Partitioned Matrices. SIAM J. Matrix Anal. Appl. Lieven De Lathauwer
2008	J	`jnl`	Decompositions of a Higher-Order Tensor in Block Terms - Part II: Definitions and Uniqueness. SIAM J. Matrix Anal. Appl. Lieven De Lathauwer
2008	J	`jnl`	Decompositions of a Higher-Order Tensor in Block Terms - Part III: Alternating Least Squares Algorithms. SIAM J. Matrix Anal. Appl. Lieven De Lathauwer, Dimitri Nion
2008	J	`jnl`	Special Issue on Tensor Decompositions and Applications. SIAM J. Matrix Anal. Appl. Lieven De Lathauwer, Pierre Comon, Nicola Mastronardi
2008	—	`conf`	Swamp reducing technique for tensor decomposition. EUSIPCO Carmeliza Navasca, Lieven De Lathauwer, Stefan Kindermann
2007	J	`jnl`	A Shift Invariance-Based Order-Selection Technique for Exponential Data Modelling. IEEE Signal Process. Lett. Jean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel
2007	J	`jnl`	Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study. Comput. Intell. Neurosci. Maarten De Vos, Lieven De Lathauwer, Bart Vanrumste, Sabine Van Huffel, Wim Van Paesschen
2007	J	`jnl`	Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone. NeuroImage Maarten De Vos, Anneleen Vergult, Lieven De Lathauwer, Wim De Clercq, Sabine Van Huffel, Patrick Dupont, A. Palmini, Wim Van Paesschen
2007	J	`jnl`	Efficiently updating and tracking the dominant kernel principal components. Neural Networks Luc Hoegaerts, Lieven De Lathauwer, Ivan Goethals, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor
2007	J	`jnl`	Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures. IEEE Trans. Signal Process. Lieven De Lathauwer, Joséphine Castaing, Jean-François Cardoso
2007	J	`jnl`	Higher Order Tensor-Based Method for Delayed Exponential Fitting. IEEE Trans. Signal Process. Rémy Boyer, Lieven De Lathauwer, Karim Abed-Meraim
2007	—	`conf`	Imposing Independence Constraints in the CP Model. ICA Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel
2007	J	`jnl`	Tensor-based techniques for the blind separation of DS-CDMA signals. Signal Process. Lieven De Lathauwer, Joséphine Castaing
2006	—	`conf`	A Block Factor Analysis Based Receiver for Blind Multi-User Access in Wireless Communications. ICASSP (5) Dimitri Nion, Lieven De Lathauwer
2006	J	`jnl`	A Link between the Canonical Decomposition in Multilinear Algebra and Simultaneous Matrix Diagonalization. SIAM J. Matrix Anal. Appl. Lieven De Lathauwer
2006	J	`jnl`	Common pole estimation in multi-channel exponential data modeling. Signal Process. Jean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel
2006	—	`conf`	Levenberg-Marquardt computation of the Block Factor Model for blind multi-user access in wireless communications. EUSIPCO Dimitri Nion, Lieven De Lathauwer
2006	—	`conf`	Second-Order Blind Identification of Underdetermined Mixtures. ICA Lieven De Lathauwer, Joséphine Castaing
2006	J	`jnl`	The use of total least squares data fitting in the shape-from-moments problem. Signal Process. M. Schuermans, Philippe Lemmerling, Lieven De Lathauwer, Sabine Van Huffel
2005	J	`jnl`	A prewhitening-induced bound on the identification error in independent component analysis. IEEE Trans. Circuits Syst. I Regul. Pap. Lieven De Lathauwer, Bart De Moor, Joos Vandewalle
2005	—	`conf`	Delayed exponential fitting by best tensor rank-(R ICASSP (4) Rémy Boyer, Lieven De Lathauwer, Karim Abed-Meraim
2005	J	`jnl`	Exponential data fitting using multilinear algebra: the single-channel and multi-channel case. Numer. Linear Algebra Appl. Jean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel
2004	—	`conf`	A Grassmann-Rayleigh Quotient Iteration for Dimensionality Reduction in ICA. ICA Lieven De Lathauwer, Luc Hoegaerts, Joos Vandewalle
2004	—	`conf`	Algebraic techniques for the blind deconvolution of Constant Modulus signals. EUSIPCO Lieven De Lathauwer
2004	—	`conf`	An algebraic technique for the blind separation of DS-CDMA signals. EUSIPCO Joséphine Castaing, Lieven De Lathauwer
2004	J	`jnl`	Computation of the Canonical Decomposition by Means of a Simultaneous Generalized Schur Decomposition. SIAM J. Matrix Anal. Appl. Lieven De Lathauwer, Bart De Moor, Joos Vandewalle
2004	—	`conf`	Dimensionality Reduction in ICA and Rank-(R ICA Lieven De Lathauwer, Joos Vandewalle
2004	—	`conf`	Thin QR and SVD factorizations for simultaneous blind signal extraction. EUSIPCO Sergio Cruces, Andrzej Cichocki, Lieven De Lathauwer
2003	J	`jnl`	A QR-type reduction for computing the SVD of a general matrix product/quotient. Numerische Mathematik Delin Chu, Lieven De Lathauwer, Bart De Moor
2002	J	`jnl`	Blind Identification of Convolutive MIMO Systems with 3 Sources and 2 Sensors. EURASIP J. Adv. Signal Process. Binning Chen, Athina P. Petropulu, Lieven De Lathauwer
2002	Misc	`conf`	Blind identification of complex convolutive MIMO systems with 3 sources and 2 sensors. ICASSP Binning Chen, Athina P. Petropulu, Lieven De Lathauwer
2002	—	`conf`	On the blind separation of non-circular sources. EUSIPCO Lieven De Lathauwer, Bart De Moor
2001	J	`jnl`	Independent component analysis and (simultaneous) third-order tensor diagonalization. IEEE Trans. Signal Process. Lieven De Lathauwer, Bart De Moor, Joos Vandewalle
2000	J	`jnl`	A Multilinear Singular Value Decomposition. SIAM J. Matrix Anal. Appl. Lieven De Lathauwer, Bart De Moor, Joos Vandewalle
2000	—	`conf`	An algebraic ICA algorithm for 3 sources and 2 sensors. EUSIPCO Lieven De Lathauwer, Bart De Moor, Joos Vandewalle
2000	B	`conf`	An algebraic approach to the blind identification of paraunitary filters. WCNC Lieven De Lathauwer, Bart De Moor, Joos Vandewalle
2000	—	`conf`	Blind MIMO system identification based on cross-polyspectra. EUSIPCO Binning Chen, Athina P. Petropulu, Lieven De Lathauwer, Bart De Moor
2000	J	`jnl`	Fetal electrocardiogram extraction by blind source subspace separation. IEEE Trans. Biomed. Eng. Lieven De Lathauwer, Bart De Moor, Joos Vandewalle
2000	J	`jnl`	On the Best Rank-1 and Rank-( SIAM J. Matrix Anal. Appl. Lieven De Lathauwer, Bart De Moor, Joos Vandewalle
2000	J	`jnl`	On the Computation of the Restricted Singular Value Decomposition via the Cosine-Sine Decomposition. SIAM J. Matrix Anal. Appl. Delin Chu, Lieven De Lathauwer, Bart De Moor
2000	Misc	`conf`	SVD-based methodologies for fetal electrocardiogram extraction. ICASSP Lieven De Lathauwer, Bart De Moor, Joos Vandewalle
1998	—	`conf`	A residual bound for the mixing matrix in ICA. EUSIPCO Lieven De Lathauwer, Joos Vandewalle
1996	—	`conf`	Blind source separation by simultaneous third-order tensor diagonalization. EUSIPCO Lieven De Lathauwer, Bart De Moor, Joos Vandewalle