Michiel Vandecappelle

Orcid: 0000-0001-6231-5313

According to our database1, Michiel Vandecappelle authored at least 14 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Updating the Multilinear UTV Decomposition.
IEEE Trans. Signal Process., 2022

Canonical Polyadic Decomposition via the Generalized Schur Decomposition.
IEEE Signal Process. Lett., 2022

From multilinear SVD to multilinear UTV decomposition.
Signal Process., 2022

A Recursive Eigenspace Computation for the Canonical Polyadic Decomposition.
SIAM J. Matrix Anal. Appl., 2022

CPD Computation via Recursive Eigenspace Decompositions.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Inexact Generalized Gauss-Newton for Scaling the Canonical Polyadic Decomposition With Non-Least-Squares Cost Functions.
IEEE J. Sel. Top. Signal Process., 2021

2020
A Second-Order Method for Fitting the Canonical Polyadic Decomposition With Non-Least-Squares Cost.
IEEE Trans. Signal Process., 2020

2019
Tensor-based Blind fMRI Source Separation Without the Gaussian Noise Assumption - A β-Divergence Approach.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Rank-one Tensor Approximation with Beta-divergence Cost Functions.
Proceedings of the 27th European Signal Processing Conference, 2019

Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Recent Numerical and Conceptual Advances for Tensor Decompositions - A Preview of Tensorlab 4.0.
Proceedings of the IEEE Data Science Workshop, 2019

Low Multilinear Rank Updating.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
CPD Updating Using Low-Rank Weights.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Nonlinear least squares updating of the canonical polyadic decomposition.
Proceedings of the 25th European Signal Processing Conference, 2017


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