default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLieven De Lathauwer
Person information
- affiliation: Catholic University of Leuven, Belgium
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j107]Nithin Govindarajan
, Raphaël Widdershoven, Shivkumar Chandrasekaran, Lieven De Lathauwer:
A Fast Algorithm for Computing Macaulay Null Spaces of Bivariate Polynomial Systems. SIAM J. Matrix Anal. Appl. 45(1): 368-396 (2024)- [j106]Ignat Domanov, Nico Vervliet, Eric Evert, Lieven De Lathauwer:
Decomposition of a Tensor into Multilinear Rank-\({(M_{{r}},N_{{r}},\cdot )}\) Terms. SIAM J. Matrix Anal. Appl. 45(3): 1310-1334 (2024) - [c76]Shakir Showkat Sofi, Stijn Hendrikx, Lieven De Lathauwer:
Tensor Train Completion of Multi-Way Data Observed Along One Mode. EUSIPCO 2024: 1067-1071 - [c75]Raphaël Widdershoven, Nico Vervliet, Lieven De Lathauwer:
A Bézoutian-Based Method for Solving Overdetermined Systems of Polynomial Equations. EUSIPCO 2024: 1352-1356 - 2023
- [j105]Stijn Hendrikx, Raphaël Widdershoven, Nico Vervliet, Lieven De Lathauwer:
Tensorlab+: A Case Study on Reproducibility in Tensor Research. Comput. Sci. Eng. 25(5): 6-13 (2023) - [j104]Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel:
Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. Medical Image Anal. 84: 102706 (2023) - [j103]Eric Evert, Lieven De Lathauwer:
On Best Low Rank Approximation of Positive Definite Tensors. SIAM J. Matrix Anal. Appl. 44(2): 867-893 (2023) - [j102]Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur:
Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions. IEEE Trans. Signal Process. 71: 1712-1724 (2023) - [c74]Eric Evert, Nico Vervliet, Ignat Domanov, Lieven De Lathauwer:
Uniqueness Result and Algebraic Algorithm for Decomposition into Multilinear Rank- $(M_{r}, N_{r}, \cdot)$ Terms and Joint Block Diagonalization. CAMSAP 2023: 206-210 - [c73]Raphaël Widdershoven, Nithin Govindarajan, Lieven De Lathauwer:
Overdetermined Systems of Polynomial Equations: Tensor-Based Solution and Application. EUSIPCO 2023: 650-654 - [c72]Stijn Hendrikx, Mikael Sørensen, Lieven De Lathauwer:
Multilinear singular value decomposition of a tensor with fibers observed along one mode*. SSP 2023: 566-570 - 2022
- [j101]Stijn Hendrikx, Lieven De Lathauwer:
Block Row Kronecker-Structured Linear Systems With a Low-Rank Tensor Solution. Frontiers Appl. Math. Stat. 8: 832883 (2022) - [j100]Muzaffer Ayvaz, Lieven De Lathauwer:
CPD-Structured Multivariate Polynomial Optimization. Frontiers Appl. Math. Stat. 8: 836433 (2022) - [j99]Nithin Govindarajan, Nico Vervliet, Lieven De Lathauwer:
Regression and Classification With Spline-Based Separable Expansions. Frontiers Big Data 5: 688496 (2022) - [j98]Guillaume O. Berger, Pierre-Antoine Absil, Lieven De Lathauwer, Raphaël M. Jungers, Marc Van Barel:
Equivalent polyadic decompositions of matrix multiplication tensors. J. Comput. Appl. Math. 406: 113941 (2022) - [j97]Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer:
A Recursive Eigenspace Computation for the Canonical Polyadic Decomposition. SIAM J. Matrix Anal. Appl. 43(1): 274-300 (2022) - [j96]Eric Evert, Lieven De Lathauwer:
Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor. SIAM J. Matrix Anal. Appl. 43(1): 328-369 (2022) - [j95]Nithin Govindarajan, Ethan N. Epperly, Lieven De Lathauwer:
$(L_r, L_r, 1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials. SIAM J. Matrix Anal. Appl. 43(2): 912-938 (2022) - [j94]Michiel Vandecappelle, Lieven De Lathauwer:
From multilinear SVD to multilinear UTV decomposition. Signal Process. 198: 108575 (2022) - [j93]Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer:
Canonical Polyadic Decomposition via the Generalized Schur Decomposition. IEEE Signal Process. Lett. 29: 937-941 (2022) - [j92]Michiel Vandecappelle, Lieven De Lathauwer:
Updating the Multilinear UTV Decomposition. IEEE Trans. Signal Process. 70: 3551-3565 (2022) - [c71]Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer:
CPD Computation via Recursive Eigenspace Decompositions. ICASSP 2022: 9067-9071 - [i12]Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer:
Canonical Polyadic Decomposition via the generalized Schur decomposition. CoRR abs/2202.11414 (2022) - [i11]Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel:
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation. CoRR abs/2202.12295 (2022) - [i10]Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur:
Least-squares methods for nonnegative matrix factorization over rational functions. CoRR abs/2209.12579 (2022) - 2021
- [j91]Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer:
Inexact Generalized Gauss-Newton for Scaling the Canonical Polyadic Decomposition With Non-Least-Squares Cost Functions. IEEE J. Sel. Top. Signal Process. 15(3): 491-505 (2021) - [j90]Ignat Domanov, Lieven De Lathauwer:
From Computation to Comparison of Tensor Decompositions. SIAM J. Matrix Anal. Appl. 42(2): 449-474 (2021) - [j89]Jeroen Vanderstukken, Lieven De Lathauwer:
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. 42(2): 883-912 (2021) - [j88]Jeroen Vanderstukken, Patrick Kürschner, Ignat Domanov, Lieven De Lathauwer:
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. 42(2): 913-953 (2021) - [c70]Cécile Hautecoeur, François Glineur, Lieven De Lathauwer:
Hierarchical alternating nonlinear least squares for nonnegative matrix factorization using rational functions. EUSIPCO 2021: 1045-1049 - [c69]Muzaffer Ayvaz, Lieven De Lathauwer:
Tensor-Based Multivariate Polynomial Optimization with Application in Blind Identification. EUSIPCO 2021: 1080-1084 - [i9]Eric Evert, Lieven De Lathauwer:
Guarantees for existence of a best canonical polyadic approximation of a noisy low-rank tensor. CoRR abs/2112.08283 (2021) - [i8]Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer:
A recursive eigenspace computation for the Canonical Polyadic decomposition. CoRR abs/2112.08303 (2021) - 2020
- [j87]Ignat Domanov, Lieven De Lathauwer:
On Uniqueness and Computation of the Decomposition of a Tensor into Multilinear Rank-(1, Lr, Lr) Terms. SIAM J. Matrix Anal. Appl. 41(2): 747-803 (2020) - [j86]Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis:
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective. IEEE Signal Process. Mag. 37(5): 78-94 (2020) - [j85]Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer:
A Second-Order Method for Fitting the Canonical Polyadic Decomposition With Non-Least-Squares Cost. IEEE Trans. Signal Process. 68: 4454-4465 (2020) - [c68]Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer:
A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. EUSIPCO 2020: 1020-1024 - [i7]Christos Chatzichristos, Eleftherios Kofidis, Lieven De Lathauwer, Sergios Theodoridis, Sabine Van Huffel:
Early soft and flexible fusion of EEG and fMRI via tensor decompositions. CoRR abs/2005.07134 (2020) - [i6]Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis:
Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors. CoRR abs/2006.08183 (2020)
2010 – 2019
- 2019
- [j84]Alwin Stegeman, Lieven De Lathauwer:
Rayleigh Quotient Methods for Estimating Common Roots of Noisy Univariate Polynomials. Comput. Methods Appl. Math. 19(1): 147-163 (2019) - [j83]Mikael Sørensen, Lieven De Lathauwer:
Fiber Sampling Approach to Canonical Polyadic Decomposition and Application to Tensor Completion. SIAM J. Matrix Anal. Appl. 40(3): 888-917 (2019) - [j82]Nico Vervliet, Otto Debals, Lieven De Lathauwer:
Exploiting Efficient Representations in Large-Scale Tensor Decompositions. SIAM J. Sci. Comput. 41(2): A789-A815 (2019) - [j81]Xiao-Feng Gong, Qiu-Hua Lin, Fengyu Cong, Lieven De Lathauwer:
Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions. Signal Process. Image Commun. 73: 22-36 (2019) - [j80]Halandur Nagaraja Bharath, Otto Debals, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel:
Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging. IEEE Trans. Biomed. Eng. 66(2): 584-594 (2019) - [c67]Michiel Vandecappelle, Lieven De Lathauwer:
Low Multilinear Rank Updating. ACSSC 2019: 437-441 - [c66]Stijn Hendrikx, Martijn Boussé, Nico Vervliet, Lieven De Lathauwer:
Algebraic and Optimization Based Algorithms for Multivariate Regression Using Symmetric Tensor Decomposition. CAMSAP 2019: 475-479 - [c65]Nico Vervliet, Michiel Vandecappelle, Martijn Boussé, Rob Zink, Lieven De Lathauwer:
Recent Numerical and Conceptual Advances for Tensor Decompositions - A Preview of Tensorlab 4.0. DSW 2019: 310-314 - [c64]Alexander Caicedo, Ofelie De Wel, Michiel Vandecappelle, Liesbeth Thewissen, Anne Smits, Karel Allegaert, Lieven De Lathauwer, Gunnar Naulaers, Sabine Van Huffel:
Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions. EMBC 2019: 660-663 - [c63]Martijn Boussé, Nikos D. Sidiropoulos, Lieven De Lathauwer:
NLS Algorithm for Kronecker-Structured Linear Systems with a CPD Constrained Solution. EUSIPCO 2019: 1-5 - [c62]Simon Van Eyndhoven, Nico Vervliet, Lieven De Lathauwer, Sabine Van Huffel:
Identifying Stable Components of Matrix /Tensor Factorizations via Low-Rank Approximation of Inter-Factorization Similarity. EUSIPCO 2019: 1-5 - [c61]Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer:
Rank-one Tensor Approximation with Beta-divergence Cost Functions. EUSIPCO 2019: 1-5 - [c60]Christos Chatzichristos, Michiel Vandecappelle, Eleftherios Kofidis, Sergios Theodoridis, Lieven De Lathauwer, Sabine Van Huffel:
Tensor-based Blind fMRI Source Separation Without the Gaussian Noise Assumption - A β-Divergence Approach. GlobalSIP 2019: 1-5 - [c59]Mikael Sørensen, Nicholas D. Sidiropoulos, Lieven De Lathauwer:
Canonical Polyadic Decomposition of a Tensor That Has Missing Fibers: A Monomial Factorization Approach. ICASSP 2019: 7490-7494 - [i5]Guillaume O. Berger, Pierre-Antoine Absil, Lieven De Lathauwer, Raphaël M. Jungers, Marc Van Barel:
Equivalent Polyadic Decompositions of Matrix Multiplication Tensors. CoRR abs/1902.03950 (2019) - [i4]Ignat Domanov, Lieven De Lathauwer:
From computation to comparison of tensor decompositions. CoRR abs/1912.04694 (2019) - 2018
- [j79]Martijn Bousse, Nico Vervliet, Ignat Domanov, Otto Debals, Lieven De Lathauwer:
Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications. Numer. Linear Algebra Appl. 25(6) (2018) - [j78]Frederik Van Eeghem, Lieven De Lathauwer:
Algorithms for Canonical Polyadic Decomposition With Block-Circulant Factors. IEEE Signal Process. Lett. 25(6): 798-802 (2018) - [j77]Frederik Van Eeghem, Otto Debals, Lieven De Lathauwer:
Tensor Similarity in Two Modes. IEEE Trans. Signal Process. 66(5): 1273-1285 (2018) - [j76]Xiao-Feng Gong, Qiu-Hua Lin, Fengyu Cong, Lieven De Lathauwer:
Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation. IEEE Trans. Signal Process. 66(13): 3475-3490 (2018) - [j75]Mikael Sørensen, Ignat Domanov, Lieven De Lathauwer:
Coupled Canonical Polyadic Decompositions and Multiple Shift Invariance in Array Processing. IEEE Trans. Signal Process. 66(14): 3665-3680 (2018) - [j74]Frederik Van Eeghem, Otto Debals, Nico Vervliet, Lieven De Lathauwer:
Coupled and Incomplete Tensors in Blind System Identification. IEEE Trans. Signal Process. 66(23): 6137-6147 (2018) - [c58]Simon Geirnaert, Griet Goovaerts, Sibasankar Padhy, Martijn Bousse, Lieven De Lathauwer, Sabine Van Huffel:
Tensor-basedECG Signal Processing Applied to Atrial Fibrillation Detection. ACSSC 2018: 799-805 - [c57]Guillaume Olikier, Pierre-Antoine Absil, Lieven De Lathauwer:
A variable projection method for block term decomposition of higher-order tensors. ESANN 2018 - [c56]Martijn Bousse, Lieven De Lathauwer:
Large-Scale Autoregressive System Identification Using Kronecker Product Equations. GlobalSIP 2018: 1348-1352 - [c55]Guillaume Olikier, Pierre-Antoine Absil, Lieven De Lathauwer:
Variable Projection Applied to Block Term Decomposition of Higher-Order Tensors. LVA/ICA 2018: 139-148 - [c54]Michiel Vandecappelle, Martijn Bousse, Nico Vervliet, Lieven De Lathauwer:
CPD Updating Using Low-Rank Weights. ICASSP 2018: 6368-6372 - [c53]Simon Van Eyndhoven, Martijn Bousse, Borbála Hunyadi, Lieven De Lathauwer, Sabine Van Huffel:
Single-channel EEG Classification by Multi-channel Tensor subspace Learning and Regression. MLSP 2018: 1-6 - 2017
- [j73]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 17(4): 930 (2017) - [j72]Ignat Domanov, Alwin Stegeman, Lieven De Lathauwer:
On the Largest Multilinear Singular Values of Higher-Order Tensors. SIAM J. Matrix Anal. Appl. 38(4): 1434-1453 (2017) - [j71]Otto Debals, Marc Van Barel, Lieven De Lathauwer:
Nonnegative Matrix Factorization Using Nonnegative Polynomial Approximations. IEEE Signal Process. Lett. 24(7): 948-952 (2017) - [j70]Halandur Nagaraja 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. Biomed. Health Informatics 21(4): 1124-1132 (2017) - [j69]Martijn Bousse, Otto Debals, Lieven De Lathauwer:
A Tensor-Based Method for Large-Scale Blind Source Separation Using Segmentation. IEEE Trans. Signal Process. 65(2): 346-358 (2017) - [j68]Mikael Sørensen, Lieven De Lathauwer:
Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part I: Model and Identifiability. IEEE Trans. Signal Process. 65(2): 517-527 (2017) - [j67]Mikael Sørensen, Lieven De Lathauwer:
Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part II: Algorithm and Multirate Sampling. IEEE Trans. Signal Process. 65(2): 528-539 (2017) - [j66]Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos:
Tensor Decomposition for Signal Processing and Machine Learning. IEEE Trans. Signal Process. 65(13): 3551-3582 (2017) - [j65]Frederik Van Eeghem, Mikael Sørensen, Lieven De Lathauwer:
Tensor Decompositions With Several Block-Hankel Factors and Application in Blind System Identification. IEEE Trans. Signal Process. 65(15): 4090-4101 (2017) - [j64]Mikael Sørensen, Frederik Van Eeghem, Lieven De Lathauwer:
Blind Multichannel Deconvolution and Convolutive Extensions of Canonical Polyadic and Block Term Decompositions. IEEE Trans. Signal Process. 65(15): 4132-4145 (2017) - [j63]Martijn Bousse, Otto Debals, Lieven De Lathauwer:
Tensor-Based Large-Scale Blind System Identification Using Segmentation. IEEE Trans. Signal Process. 65(21): 5770-5784 (2017) - [c52]Lieven De Lathauwer, Eleftherios Kofidis:
Coupled matrix-tensor factorizations - The case of partially shared factors. ACSSC 2017: 711-715 - [c51]Martijn Bousse, Lieven De Lathauwer:
Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights. CAMSAP 2017: 1-5 - [c50]Martijn Bousse, Nico Vervliet, Otto Debals, Lieven De Lathauwer:
Face recognition as a kronecker product equation. CAMSAP 2017: 1-5 - [c49]Martijn Bousse, Griet Goovaerts, Nico Vervliet, Otto Debals, Sabine Van Huffel, Lieven De Lathauwer:
Irregular heartbeat classification using Kronecker Product Equations. EMBC 2017: 438-441 - [c48]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. EUSIPCO 2017: 26-30 - [c47]Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer:
Nonlinear least squares updating of the canonical polyadic decomposition. EUSIPCO 2017: 663-667 - [c46]Frederik Van Eeghem, Lieven De Lathauwer:
Second-order tensor-based convolutive ICA: Deconvolution versus tensorization. ICASSP 2017: 2252-2256 - 2016
- [j62]Laurent Sorber, Ignat Domanov, Marc Van Barel, Lieven De Lathauwer:
Exact line and plane search for tensor optimization. Comput. Optim. Appl. 63(1): 121-142 (2016) - [j61]Nico Vervliet, Lieven De Lathauwer:
A Randomized Block Sampling Approach to Canonical Polyadic Decomposition of Large-Scale Tensors. IEEE J. Sel. Top. Signal Process. 10(2): 284-295 (2016) - [j60]Ignat Domanov, Lieven De Lathauwer:
Generic Uniqueness of a Structured Matrix Factorization and Applications in Blind Source Separation. IEEE J. Sel. Top. Signal Process. 10(4): 701-711 (2016) - [j59]Otto Debals, Marc Van Barel, Lieven De Lathauwer:
Löwner-Based Blind Signal Separation of Rational Functions With Applications. IEEE Trans. Signal Process. 64(8): 1909-1918 (2016) - [j58]Mikael Sørensen, Lieven De Lathauwer:
Multiple Invariance ESPRIT for Nonuniform Linear Arrays: A Coupled Canonical Polyadic Decomposition Approach. IEEE Trans. Signal Process. 64(14): 3693-3704 (2016) - [c45]Nico Vervliet, Otto Debals, Lieven De Lathauwer:
Tensorlab 3.0 - Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization. ACSSC 2016: 1733-1738 - [c44]Halandur Nagaraja 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. EUSIPCO 2016: 547-551 - [c43]Martijn Bousse, Otto Debals, Lieven De Lathauwer:
A tensor-based method for large-scale blind system identification using segmentation. EUSIPCO 2016: 2015-2019 - [c42]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. ICASSP 2016: 2554-2558 - [c41]Mikael Sørensen, Lieven De Lathauwer:
Shift invariance, incomplete arrays and coupled CPD: A case study. SAM 2016: 1-5 - [i3]Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos:
Tensor Decomposition for Signal Processing and Machine Learning. CoRR abs/1607.01668 (2016) - 2015
- [j57]Laurent Sorber, Marc Van Barel, Lieven De Lathauwer:
Structured Data Fusion. IEEE J. Sel. Top. Signal Process. 9(4): 586-600 (2015) - [j56]Mikael Sørensen, Lieven De Lathauwer:
Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank-(Lr, n, Lr, n, 1) Terms - Part I: Uniqueness. SIAM J. Matrix Anal. Appl. 36(2): 496-522 (2015) - [j55]Mikael Sørensen, Ignat Domanov, Lieven De Lathauwer:
Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank- (Lr, n, Lr, n, 1) Terms - Part II: Algorithms. SIAM J. Matrix Anal. Appl. 36(3): 1015-1045 (2015) - [j54]Mikael Sørensen, Lieven De Lathauwer:
New Uniqueness Conditions for the Canonical Polyadic Decomposition of Third-Order Tensors. SIAM J. Matrix Anal. Appl. 36(4): 1381-1403 (2015) - [j53]Ignat Domanov, Lieven De Lathauwer:
Generic Uniqueness Conditions for the Canonical Polyadic Decomposition and INDSCAL. SIAM J. Matrix Anal. Appl. 36(4): 1567-1589 (2015) - [j52]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. 32(2): 145-163 (2015) - [c40]Halandur Nagaraja 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. EMBC 2015: 7003-7006 - [c39]Martijn Bousse, Otto Debals, Lieven De Lathauwer:
A novel deterministic method for large-scale blind source separation. EUSIPCO 2015: 1890-1894 - [c38]Otto Debals, Lieven De Lathauwer:
Stochastic and Deterministic Tensorization for Blind Signal Separation. LVA/ICA 2015: 3-13 - [c37]Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens:
Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition. LVA/ICA 2015: 14-21 - [c36]Otto Debals, Marc Van Barel, Lieven De Lathauwer:
Blind signal separation of rational functions using Löwner-based tensorization. ICASSP 2015: 4145-4149 - 2014
- [j51]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. Signal Process. 2014: 139 (2014) - [j50]Dario A. Bini, Lieven De Lathauwer, Nicola Mastronardi, Marc Van Barel, Raf Vandebril, Paul Van Dooren:
Introduction to the special issue. J. Comput. Appl. Math. 272: 275 (2014) - [j49]Marco Signoretto, Dinh Quoc Tran, Lieven De Lathauwer, Johan A. K. Suykens:
Learning with tensors: a framework based on convex optimization and spectral regularization. Mach. Learn. 94(3): 303-351 (2014) - [j48]Ignat Domanov, Lieven De Lathauwer:
Canonical Polyadic Decomposition of Third-Order Tensors: Reduction to Generalized Eigenvalue Decomposition. SIAM J. Matrix Anal. Appl. 35(2): 636-660 (2014) - [j47]Laurent Sorber, Marc Van Barel, Lieven De Lathauwer:
Numerical Solution of Bivariate and Polyanalytic Polynomial Systems. SIAM J. Numer. Anal. 52(4): 1551-1572 (2014) - [j46]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. 31(5): 71-79 (2014) - [c35]Mikael Sørensen, Lieven De Lathauwer:
Multidimensional ESPRIT: A coupled canonical polyadic decomposition approach. SAM 2014: 441-444 - [i2]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 abs/1403.4462 (2014) - 2013
- [j45]Laurent Sorber, Marc Van Barel, Lieven De Lathauwer:
Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank-(Lr, Lr, 1) Terms, and a New Generalization. SIAM J. Optim. 23(2): 695-720 (2013) - [j44]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 Anal. Appl. 34(3): 855-875 (2013) - [j43]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 Anal. Appl. 34(3): 876-903 (2013) - [j42]Mikael Sørensen, Lieven De Lathauwer:
Blind Signal Separation via Tensor Decomposition With Vandermonde Factor: Canonical Polyadic Decomposition. IEEE Trans. Signal Process. 61(22): 5507-5519 (2013) - [c34]Mikael Sørensen, Lieven De Lathauwer:
Coupled tensor decompositions for applications in array signal processing. CAMSAP 2013: 228-231 - [i1]Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens:
Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties. CoRR abs/1310.4977 (2013) - 2012
- [j41]Laurent Sorber, Marc Van Barel, Lieven De Lathauwer:
Unconstrained Optimization of Real Functions in Complex Variables. SIAM J. Optim. 22(3): 879-898 (2012) - [j40]Mikael Sørensen, Lieven De Lathauwer, Pierre Comon, Sylvie Icart, Luc Deneire:
Canonical Polyadic Decomposition with a Columnwise Orthonormal Factor Matrix. SIAM J. Matrix Anal. Appl. 33(4): 1190-1213 (2012) - [j39]Mikael Sørensen, Lieven De Lathauwer, Sylvie Icart, Luc Deneire:
On Jacobi-type methods for blind equalization of paraunitary channels. Signal Process. 92(3): 617-624 (2012) - [j38]Maarten De Vos, Dimitri Nion, Sabine Van Huffel, Lieven De Lathauwer:
A combination of parallel factor and independent component analysis. Signal Process. 92(12): 2990-2999 (2012) - [j37]Marco Signoretto, Emanuele Olivetti, Lieven De Lathauwer, Johan A. K. Suykens:
Classification of Multichannel Signals With Cumulant-Based Kernels. IEEE Trans. Signal Process. 60(5): 2304-2314 (2012) - [c33]Mikael Sørensen, Lieven De Lathauwer:
Tensor decompositions with Vandermonde factor and applications in signal processing. ACSCC 2012: 890-894 - [c32]Lieven De Lathauwer:
Block Component Analysis, a New Concept for Blind Source Separation. LVA/ICA 2012: 1-8 - 2011
- [j36]Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens:
A kernel-based framework to tensorial data analysis. Neural Networks 24(8): 861-874 (2011) - [j35]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 Anal. Appl. 32(1): 115-135 (2011) - [j34]Lieven De Lathauwer:
Blind Separation of Exponential Polynomials and the Decomposition of a Tensor in Rank-(Lr, Lr, 1) Terms. SIAM J. Matrix Anal. Appl. 32(4): 1451-1474 (2011) - [j33]Ahmad Karfoul, Laurent Albera, Lieven De Lathauwer:
Iterative methods for the canonical decomposition of multi-way arrays: Application to blind underdetermined mixture identification. Signal Process. 91(8): 1789-1802 (2011) - [j32]Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel:
Spatially constrained ICA algorithm with an application in EEG processing. Signal Process. 91(8): 1963-1972 (2011) - [c31]Mikael Sørensen, Lieven De Lathauwer:
Tensor decompositions with block-Toeplitz structure and applications in signal processing. ACSCC 2011: 454-458 - [c30]Ignat Domanov, Lieven De Lathauwer:
Blind channel identification of MISO systems based on the CP decomposition of cumulant tensors. EUSIPCO 2011: 2215-2218 - [c29]Lieven De Lathauwer:
A short introduction to tensor-based methods for Factor Analysis and Blind Source Separation. ISPA 2011: 558-563 - 2010
- [c28]Marco Signoretto, Kristiaan Pelckmans, Lieven De Lathauwer, Johan A. K. Suykens:
Improved non-parametric sparse recovery with data matched penalties. CIP 2010: 46-51 - [c27]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. LVA/ICA 2010: 546-554 - [c26]Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens:
Kernel-Based Learning from Infinite Dimensional 2-Way Tensors. ICANN (2) 2010: 59-69 - [c25]Mikael Sørensen, Lieven De Lathauwer, Luc Deneire:
Parafac with orthogonality in one mode and applications in DS-CDMA systems. ICASSP 2010: 4142-4145 - [c24]Xinhai Liu, Lieven De Lathauwer, Frizo A. L. Janssens, Bart De Moor:
Hybrid Clustering of Multiple Information Sources via HOSVD. ISNN (2) 2010: 337-345
2000 – 2009
- 2009
- [j31]Mariya Ishteva, Lieven De Lathauwer, Pierre-Antoine Absil, Sabine Van Huffel:
Differential-geometric Newton method for the best rank-(R1, R2, R3) approximation of tensors. Numer. Algorithms 51(2): 179-194 (2009) - [j30]Pierre-Antoine Absil, Mariya Ishteva, Lieven De Lathauwer, Sabine Van Huffel:
A Geometric Newton Method for Oja's Vector Field. Neural Comput. 21(5): 1415-1433 (2009) - [c23]Mikael Sørensen, Lieven De Lathauwer, Luc Deneire:
An efficient Jacobi-type algorithm for blind equalization of paraunitary channels. EUSIPCO 2009: 510-514 - [c22]Carmeliza Navasca, Lieven De Lathauwer:
Low multilinear rank tensor approximation via semidefinite programming. EUSIPCO 2009: 520-524 - [c21]Lieven De Lathauwer:
A Survey of Tensor Methods. ISCAS 2009: 2773-2776 - 2008
- [j29]Lieven De Lathauwer:
Decompositions of a Higher-Order Tensor in Block Terms - Part I: Lemmas for Partitioned Matrices. SIAM J. Matrix Anal. Appl. 30(3): 1022-1032 (2008) - [j28]Lieven De Lathauwer:
Decompositions of a Higher-Order Tensor in Block Terms - Part II: Definitions and Uniqueness. SIAM J. Matrix Anal. Appl. 30(3): 1033-1066 (2008) - [j27]Lieven De Lathauwer, Pierre Comon, Nicola Mastronardi:
Special Issue on Tensor Decompositions and Applications. SIAM J. Matrix Anal. Appl. 30(3) (2008) - [j26]Lieven De Lathauwer, Dimitri Nion:
Decompositions of a Higher-Order Tensor in Block Terms - Part III: Alternating Least Squares Algorithms. SIAM J. Matrix Anal. Appl. 30(3): 1067-1083 (2008) - [j25]Alwin Stegeman, Lieven De Lathauwer:
A Method to Avoid Diverging Components in the Candecomp/Parafac Model for Generic I˟J˟2 Arrays. SIAM J. Matrix Anal. Appl. 30(4): 1614-1638 (2008) - [j24]Dimitri Nion, Lieven De Lathauwer:
An enhanced line search scheme for complex-valued tensor decompositions. Application in DS-CDMA. Signal Process. 88(3): 749-755 (2008) - [j23]Lieven De Lathauwer, Joséphine Castaing:
Blind Identification of Underdetermined Mixtures by Simultaneous Matrix Diagonalization. IEEE Trans. Signal Process. 56(3): 1096-1105 (2008) - [j22]Lieven De Lathauwer, Alexandre de Baynast:
Blind Deconvolution of DS-CDMA Signals by Means of Decomposition in Rank-(1, L, L) Terms. IEEE Trans. Signal Process. 56(4): 1562-1571 (2008) - [j21]Dimitri Nion, Lieven De Lathauwer:
A Block Component Model-Based Blind DS-CDMA Receiver. IEEE Trans. Signal Process. 56(11): 5567-5579 (2008) - [c20]Carmeliza Navasca, Lieven De Lathauwer, Stefan Kindermann:
Swamp reducing technique for tensor decomposition. EUSIPCO 2008: 1-5 - [c19]Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel:
Algorithm for imposing SOBI-type constraints on the CP model. ISCAS 2008: 1344-1347 - 2007
- [j20]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. Comput. Intell. Neurosci. 2007 (2007) - [j19]Maarten De Vos, Anneleen Vergult, Lieven De Lathauwer, Wim De Clercq, Sabine Van Huffel, Patrick Dupont, A. Palmini, Wim Van Paesschen:
Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone. NeuroImage 37(3): 844-854 (2007) - [j18]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 20(2): 220-229 (2007) - [j17]Lieven De Lathauwer, Joséphine Castaing:
Tensor-based techniques for the blind separation of DS-CDMA signals. Signal Process. 87(2): 322-336 (2007) - [j16]Jean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel:
A Shift Invariance-Based Order-Selection Technique for Exponential Data Modelling. IEEE Signal Process. Lett. 14(7): 473-476 (2007) - [j15]Rémy Boyer, Lieven De Lathauwer, Karim Abed-Meraim:
Higher Order Tensor-Based Method for Delayed Exponential Fitting. IEEE Trans. Signal Process. 55(6-2): 2795-2809 (2007) - [j14]Lieven De Lathauwer, Joséphine Castaing, Jean-François Cardoso:
Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures. IEEE Trans. Signal Process. 55(6-2): 2965-2973 (2007) - [c18]Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel:
Imposing Independence Constraints in the CP Model. ICA 2007: 33-40 - 2006
- [j13]Lieven De Lathauwer:
A Link between the Canonical Decomposition in Multilinear Algebra and Simultaneous Matrix Diagonalization. SIAM J. Matrix Anal. Appl. 28(3): 642-666 (2006) - [j12]Jean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel:
Common pole estimation in multi-channel exponential data modeling. Signal Process. 86(4): 846-858 (2006) - [j11]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 Process. 86(5): 1109-1115 (2006) - [c17]Dimitri Nion, Lieven De Lathauwer:
Levenberg-Marquardt computation of the Block Factor Model for blind multi-user access in wireless communications. EUSIPCO 2006: 1-4 - [c16]Lieven De Lathauwer, Joséphine Castaing:
Second-Order Blind Identification of Underdetermined Mixtures. ICA 2006: 40-47 - [c15]Dimitri Nion, Lieven De Lathauwer:
A Block Factor Analysis Based Receiver for Blind Multi-User Access in Wireless Communications. ICASSP (5) 2006: 825-828 - 2005
- [j10]Jean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel:
Exponential data fitting using multilinear algebra: the single-channel and multi-channel case. Numer. Linear Algebra Appl. 12(8): 809-826 (2005) - [j9]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
A prewhitening-induced bound on the identification error in independent component analysis. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(3): 546-554 (2005) - [c14]Rémy Boyer, Lieven De Lathauwer, Karim Abed-Meraim:
Delayed exponential fitting by best tensor rank-(R1, R2, R3) approximation. ICASSP (4) 2005: 269-272 - 2004
- [j8]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
Computation of the Canonical Decomposition by Means of a Simultaneous Generalized Schur Decomposition. SIAM J. Matrix Anal. Appl. 26(2): 295-327 (2004) - [c13]Sergio Cruces, Andrzej Cichocki, Lieven De Lathauwer:
Thin QR and SVD factorizations for simultaneous blind signal extraction. EUSIPCO 2004: 217-220 - [c12]Lieven De Lathauwer:
Algebraic techniques for the blind deconvolution of Constant Modulus signals. EUSIPCO 2004: 225-228 - [c11]Joséphine Castaing, Lieven De Lathauwer:
An algebraic technique for the blind separation of DS-CDMA signals. EUSIPCO 2004: 377-380 - [c10]Lieven De Lathauwer, Joos Vandewalle:
Dimensionality Reduction in ICA and Rank-(R1, R2, ..., RN) Reduction in Multilinear Algebra. ICA 2004: 295-302 - [c9]Lieven De Lathauwer, Luc Hoegaerts, Joos Vandewalle:
A Grassmann-Rayleigh Quotient Iteration for Dimensionality Reduction in ICA. ICA 2004: 335-342 - 2003
- [j7]Delin Chu, Lieven De Lathauwer, Bart De Moor:
A QR-type reduction for computing the SVD of a general matrix product/quotient. Numerische Mathematik 95(1): 101-121 (2003) - 2002
- [j6]Binning Chen, Athina P. Petropulu, Lieven De Lathauwer:
Blind Identification of Convolutive MIMO Systems with 3 Sources and 2 Sensors. EURASIP J. Adv. Signal Process. 2002(5): 487-496 (2002) - [c8]Lieven De Lathauwer, Bart De Moor:
On the blind separation of non-circular sources. EUSIPCO 2002: 1-4 - [c7]Binning Chen, Athina P. Petropulu, Lieven De Lathauwer:
Blind identification of complex convolutive MIMO systems with 3 sources and 2 sensors. ICASSP 2002: 1669-1672 - 2001
- [j5]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
Independent component analysis and (simultaneous) third-order tensor diagonalization. IEEE Trans. Signal Process. 49(10): 2262-2271 (2001) - 2000
- [j4]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
A Multilinear Singular Value Decomposition. SIAM J. Matrix Anal. Appl. 21(4): 1253-1278 (2000) - [j3]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
On the Best Rank-1 and Rank-(R1 , R2, ... , RN) Approximation of Higher-Order Tensors. SIAM J. Matrix Anal. Appl. 21(4): 1324-1342 (2000) - [j2]Delin Chu, Lieven De Lathauwer, Bart De Moor:
On the Computation of the Restricted Singular Value Decomposition via the Cosine-Sine Decomposition. SIAM J. Matrix Anal. Appl. 22(2): 580-601 (2000) - [j1]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
Fetal electrocardiogram extraction by blind source subspace separation. IEEE Trans. Biomed. Eng. 47(5): 567-572 (2000) - [c6]Binning Chen, Athina P. Petropulu, Lieven De Lathauwer, Bart De Moor:
Blind MIMO system identification based on cross-polyspectra. EUSIPCO 2000: 1-4 - [c5]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
An algebraic ICA algorithm for 3 sources and 2 sensors. EUSIPCO 2000: 1-4 - [c4]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
SVD-based methodologies for fetal electrocardiogram extraction. ICASSP 2000: 3771-3774 - [c3]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
An algebraic approach to the blind identification of paraunitary filters. WCNC 2000: 1162-1165
1990 – 1999
- 1998
- [c2]Lieven De Lathauwer, Joos Vandewalle:
A residual bound for the mixing matrix in ICA. EUSIPCO 1998: 1-4 - 1996
- [c1]Lieven De Lathauwer, Bart De Moor, Joos Vandewalle:
Blind source separation by simultaneous third-order tensor diagonalization. EUSIPCO 1996: 1-4
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:37 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
