Otto Debals

According to our database, Otto Debals authored at least 19 papers between 2014 and 2019.

Collaborative distances:

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

2019

Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging.

Halandur Nagaraja Bharath, Otto Debals, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel

IEEE Trans. Biomed. Eng., 2019

Exploiting Efficient Representations in Large-Scale Tensor Decompositions.

Nico Vervliet, Otto Debals, Lieven De Lathauwer

SIAM J. Sci. Comput., 2019

2018

Coupled and Incomplete Tensors in Blind System Identification.

Frederik Van Eeghem, Otto Debals, Nico Vervliet, Lieven De Lathauwer

IEEE Trans. Signal Process., 2018

Tensor Similarity in Two Modes.

Frederik Van Eeghem, Otto Debals, Lieven De Lathauwer

IEEE Trans. Signal Process., 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

2017

Tensorization and Applications in Blind Source Separation ; Tensorizatie met applicaties in blinde signaalscheiding.

Otto Debals

PhD thesis, 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

Nonnegative Matrix Factorization Using Nonnegative Polynomial Approximations.

Otto Debals, Marc Van Barel, Lieven De Lathauwer

IEEE Signal Process. Lett., 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

2016

Löwner-Based Blind Signal Separation of Rational Functions With Applications.

Otto Debals, Marc Van Barel, Lieven De Lathauwer

IEEE Trans. Signal Process., 2016

Coupled rank-(Lm, Ln, •) block term decomposition by coupled block simultaneous generalized Schur decomposition.

Xiao-Feng Gong, Qiu-Hua Lin, Otto Debals, Nico Vervliet, Lieven De Lathauwer

Proceedings of the 2016 IEEE International Conference on Acoustics, 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

Tensorlab 3.0 - Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization.

Nico Vervliet, Otto Debals, Lieven De Lathauwer

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Blind signal separation of rational functions using Löwner-based tensorization.

Otto Debals, Marc Van Barel, Lieven De Lathauwer

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Stochastic and Deterministic Tensorization for Blind Signal Separation.

Otto Debals, Lieven De Lathauwer

Proceedings of the Latent Variable Analysis and Signal Separation, 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

2014

Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis.

Nico Vervliet, Otto Debals, Laurent Sorber, Lieven De Lathauwer

IEEE Signal Process. Mag., 2014