| 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 | 36 | 2017 |
| 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 | 18 | 2020 |
| A recursive eigenspace computation for the canonical polyadic decomposition E Evert, M Vandecappelle, L De Lathauwer SIAM Journal on Matrix Analysis and Applications 43 (1), 274-300, 2022 | 10 | 2022 |
| Tensor-based blind fMRI source separation without the Gaussian noise assumption—A β-divergence approach C Chatzichristos, M Vandecapelle, E Kofidis, S Theodoridis, ... 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 6 | 2019 |
| Low multilinear rank updating M Vandecappelle, L De Lathauwer 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 437-441, 2019 | 5 | 2019 |
| 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 | 5 | 2018 |
| 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 | 4 | 2020 |
| Monitoring of brain hemodynamics coupling in neonates using updated tensor decompositions A Caicedo, O De Wel, M Vandecappelle, L Thewissen, A Smits, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 4 | 2019 |
| Canonical Polyadic Decomposition via the generalized Schur decomposition E Evert, M Vandecappelle, L De Lathauwer IEEE Signal Processing Letters 29, 937-941, 2022 | 3 | 2022 |
| From multilinear SVD to multilinear UTV decomposition M Vandecappelle, L De Lathauwer Signal Processing 198, 108575, 2022 | 2 | 2022 |
| Updating the multilinear UTV decomposition M Vandecappelle, L De Lathauwer IEEE Transactions on Signal Processing 70, 3551-3565, 2022 | 2 | 2022 |
| Numerical algorithms for tensor decompositions M Vandecappelle | 2 | 2021 |
| Rank-one tensor approximation with beta-divergence cost functions M Vandecappelle, N Vervliet, L De Lathauwer 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 1 | 2019 |
| Recent Numerical and Conceptual Advances for Tensor Decompositions—A Preview of Tensorlab 4.0 N Vervliet, M Vandecappelle, M Boussé, R Zink, L De Lathauwer 2019 IEEE Data Science Workshop (DSW), 310-314, 2019 | 1 | 2019 |
| CPD Computation via recursive eigenspace decompositions E Evert, M Vandecappelle, L De Lathauwer ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | | 2022 |
| TENSORLAB 4.0–A PREVIEW M Vandecappelle, M Boussé, N Vervliet, M Vendeville, R Zink, ... Proc. 14th International Conference on Latent Variable Analysis and Signal …, 2018 | | 2018 |
| Second-order algorithms for canonical polyadic decomposition with non-least-squares cost functions M Vandecappelle, L De Book of Abstracts, 0 | | |
