Nico Vervliet

Orcid: 0000-0003-3006-4155

According to our database1, Nico Vervliet authored at least 23 papers between 2014 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Uniqueness Result and Algebraic Algorithm for Decomposition into Multilinear Rank- $(M_{r}, N_{r}, \cdot)$ Terms and Joint Block Diagonalization.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Regression and Classification With Spline-Based Separable Expansions.
Frontiers Big Data, 2022

2021
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data.
NeuroImage, 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

Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective.
IEEE Signal Process. Mag., 2020

Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors.
CoRR, 2020

A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Exploiting Efficient Representations in Large-Scale Tensor Decompositions.
SIAM J. Sci. Comput., 2019

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

Identifying Stable Components of Matrix /Tensor Factorizations via Low-Rank Approximation of Inter-Factorization Similarity.
Proceedings of the 27th European Signal Processing Conference, 2019

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

Algebraic and Optimization Based Algorithms for Multivariate Regression Using Symmetric Tensor Decomposition.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Coupled and Incomplete Tensors in Blind System Identification.
IEEE Trans. Signal Process., 2018

Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications.
Numer. Linear Algebra Appl., 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

Irregular heartbeat classification using Kronecker Product Equations.
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.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
A Randomized Block Sampling Approach to Canonical Polyadic Decomposition of Large-Scale Tensors.
IEEE J. Sel. Top. Signal Process., 2016

Coupled rank-(Lm, Ln, •) block term decomposition by coupled block simultaneous generalized Schur decomposition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Tensorlab 3.0 - Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2014
Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis.
IEEE Signal Process. Mag., 2014


  Loading...