José Henrique de Morais Goulart

Orcid: 0000-0003-1812-6229

According to our database1, José Henrique de Morais Goulart authored at least 24 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model.
CoRR, 2024

2023
Majorization-Minimization for Sparse Nonnegative Matrix Factorization With the $\beta$-Divergence.
IEEE Trans. Signal Process., 2023

Joint majorization-Minimization for nonnegative matrix factorization with the β-divergence.
Signal Process., 2023

Hotelling Deflation on Large Symmetric Spiked Tensors.
CoRR, 2023

On the Accuracy of Hotelling-Type Asymmetric Tensor Deflation: A Random Tensor Analysis.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Blind Source Separation in Persistent Atrial Fibrillation Electrocardiograms Using Block-Term Tensor Decomposition With Löwner Constraints.
IEEE J. Biomed. Health Informatics, 2022

On the Realization of Impulse Invariant Low-Rank Volterra Kernels.
IEEE Signal Process. Lett., 2022

A Random Matrix Perspective on Random Tensors.
J. Mach. Learn. Res., 2022

Majorization-minimization for Sparse Nonnegative Matrix Factorization with the β-divergence.
CoRR, 2022

2021
COL0RME: Covariance-Based l0 Super-Resolution Microscopy with Intensity Estimation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Volterra kernels of bilinear systems have tensor train structure.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Alternating Group Lasso for Block-Term Tensor Decomposition and Application to ECG Source Separation.
IEEE Trans. Signal Process., 2020

2019
A Study on Tensor and Matrix Models for Super-Resolution Fluorescence Microscopy.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Efficient Computation of Bilinear Approximations and Volterra Models of Nonlinear Systems.
IEEE Trans. Signal Process., 2018

Coherence Constrained Alternating Least Squares.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Low-Rank Tensor Recovery using Sequentially Optimal Modal Projections in Iterative Hard Thresholding (SeMPIHT).
SIAM J. Sci. Comput., 2017

On the minimal ranks of matrix pencils and the existence of a best approximate block-term tensor decomposition.
CoRR, 2017

A novel non-iterative algorithm for low-multilinear-rank tensor approximation.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Tensor CP Decomposition With Structured Factor Matrices: Algorithms and Performance.
IEEE J. Sel. Top. Signal Process., 2016

2015
An iterative hard thresholding algorithm with improved convergence for low-rank tensor recovery.
Proceedings of the 23rd European Signal Processing Conference, 2015

Statistical efficiency of structured CPD estimation applied to Wiener-Hammerstein modeling.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
An Algebraic Solution for the Candecomp/PARAFAC Decomposition with Circulant Factors.
SIAM J. Matrix Anal. Appl., 2014

2013
Evaluating the potential of Volterra-PARAFAC IIR models.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Efficient Kernel Computation for Volterra Filter Structure Evaluation.
IEEE Signal Process. Lett., 2012


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