Martijn Bousse

According to our database, Martijn Bousse authored at least 15 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

NLS Algorithm for Kronecker-Structured Linear Systems with a CPD Constrained Solution.

Martijn Boussé, Nikos D. Sidiropoulos, Lieven De Lathauwer

Proceedings of the 27th European Signal Processing Conference, 2019

Recent Numerical and Conceptual Advances for Tensor Decompositions - A Preview of Tensorlab 4.0.

Nico Vervliet, Michiel Vandecappelle, Martijn Boussé, Rob Zink, Lieven De Lathauwer

Proceedings of the IEEE Data Science Workshop, 2019

Algebraic and Optimization Based Algorithms for Multivariate Regression Using Symmetric Tensor Decomposition.

Stijn Hendrikx, Martijn Boussé, Nico Vervliet, Lieven De Lathauwer

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications.

Martijn Bousse, Nico Vervliet, Ignat Domanov, Otto Debals, Lieven De Lathauwer

Numer. Linear Algebra Appl., 2018

Single-channel EEG Classification by Multi-channel Tensor subspace Learning and Regression.

Simon Van Eyndhoven, Martijn Bousse, Borbála Hunyadi, Lieven De Lathauwer, Sabine Van Huffel

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

CPD Updating Using Low-Rank Weights.

Michiel Vandecappelle, Martijn Bousse, Nico Vervliet, Lieven De Lathauwer

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Large-Scale Autoregressive System Identification Using Kronecker Product Equations.

Martijn Bousse, Lieven De Lathauwer

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Tensor-basedECG Signal Processing Applied to Atrial Fibrillation Detection.

Simon Geirnaert, Griet Goovaerts, Sibasankar Padhy, Martijn Bousse, Lieven De Lathauwer, Sabine Van Huffel

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Tensor-Based Large-Scale Blind System Identification Using Segmentation.

Martijn Bousse, Otto Debals, Lieven De Lathauwer

IEEE Trans. Signal Process., 2017

A Tensor-Based Method for Large-Scale Blind Source Separation Using Segmentation.

Martijn Bousse, Otto Debals, Lieven De Lathauwer

IEEE Trans. Signal Process., 2017

Irregular heartbeat classification using Kronecker Product Equations.

Martijn Bousse, Griet Goovaerts, Nico Vervliet, Otto Debals, Sabine Van Huffel, Lieven De Lathauwer

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Face recognition as a kronecker product equation.

Martijn Bousse, Nico Vervliet, Otto Debals, Lieven De Lathauwer

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights.

Martijn Bousse, Lieven De Lathauwer

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

A tensor-based method for large-scale blind system identification using segmentation.

Martijn Bousse, Otto Debals, Lieven De Lathauwer

Proceedings of the 24th European Signal Processing Conference, 2016

2015

A novel deterministic method for large-scale blind source separation.

Martijn Bousse, Otto Debals, Lieven De Lathauwer

Proceedings of the 23rd European Signal Processing Conference, 2015