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Nico Vervliet
Nico Vervliet
Postdoc at KU Leuven, Belgium
Verified email at esat.kuleuven.be
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Cited by
Year
Tensorlab 3.0
N Vervliet, O Debals, L Sorber, M Van Barel, L De Lathauwer
411*2016
Breaking the Curse of Dimensionality using Decompositions of Incomplete Tensors
N Vervliet, O Debals, L Sorber, L De Lathauwer
Signal Processing Magazine, IEEE 31 (5), 71 - 79, 2014
203*2014
Tensorlab 3.0—numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization
N Vervliet, O Debals, L De Lathauwer
2016 50th Asilomar Conference on Signals, Systems and Computers, 1733-1738, 2016
1042016
A randomized block sampling approach to canonical polyadic decomposition of large-scale tensors
N Vervliet, L De Lathauwer
IEEE Journal of Selected Topics in Signal Processing 10 (2), 284 - 295, 2016
882016
Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications
M Boussé, N Vervliet, I Domanov, O Debals, L De Lathauwer
Numerical Linear Algebra with Applications 26 (6), e2190, 2017
412017
Numerical optimization based algorithms for data fusion
N Vervliet, L De Lathauwer
Data Fusion Methodology and Applications, 81-128, 2019
362019
Nonlinear least squares updating of the canonical polyadic decomposition
M Vandecappelle, N Vervliet, L De Lathauwer
2017 25th European Signal Processing Conference (EUSIPCO), 663-667, 2017
342017
Exploiting efficient representations in large-scale tensor decompositions
N Vervliet, O Debals, L De Lathauwer
SIAM Journal on Scientific Computing 41 (2), A789-A815, 2019
272019
Computing large-scale matrix and tensor decomposition with structured factors: A unified nonconvex optimization perspective
X Fu, N Vervliet, L De Lathauwer, K Huang, N Gillis
IEEE Signal Processing Magazine 37 (5), 78-94, 2020
252020
Irregular heartbeat classification using Kronecker product equations
M Boussé, G Goovaerts, N Vervliet, O Debals, S Van Huffel, ...
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
252017
Canonical polyadic decomposition of incomplete tensors with linearly constrained factors
N Vervliet, O Debals, L De Lathauwer
Technical Report 16–172, ESAT-STADIUS, KU Leuven, Leuven, Belgium, 2017
222017
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data
S Van Eyndhoven, P Dupont, S Tousseyn, N Vervliet, W Van Paesschen, ...
NeuroImage 228, 117652, 2021
192021
A second-order method for fitting the canonical polyadic decomposition with non-least-squares cost
M Vandecappelle, N Vervliet, L De Lathauwer
IEEE Transactions on Signal Processing 68, 4454-4465, 2020
182020
Combining thermodynamics with tensor completion techniques to enable multicomponent microstructure prediction
YA Coutinho, N Vervliet, L De Lathauwer, N Moelans
npj Computational Materials 6 (1), 2, 2020
152020
Face recognition as a Kronecker product equation
M Boussé, N Vervliet, O Debals, L De Lathauwer
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
112017
Coupled rank-(Lm, Ln,) block term decomposition by coupled block simultaneous generalized Schur decomposition
XF Gong, QH Lin, O Debals, N Vervliet, L De Lathauwer
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
102016
Compressed sensing approaches to large-scale tensor decompositions
N Vervliet
92018
Identifying stable components of matrix/tensor factorizations via low-rank approximation of inter-factorization similarity
S Van Eyndhoven, N Vervliet, L De Lathauwer, S Van Huffel
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
82019
CPD updating using low-rank weights
M Vandecappelle, M Bouss, N Vervliet, L De Lathauwer
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
52018
Inexact generalized Gauss–Newton for scaling the canonical polyadic decomposition with non-least-squares cost functions
M Vandecappelle, N Vervliet, L De Lathauwer
IEEE Journal of Selected Topics in Signal Processing 15 (3), 491-505, 2020
42020
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