José Henrique de Morais Goulart

Low-Rank Tensor Recovery using Sequentially Optimal Modal Projections in Iterative Hard Thresholding (SeMPIHT)

Gérard Favier, José Henrique de Morais Goulart, G. Favier, 2017, SIAM J. Sci. Comput..

An Algebraic Solution for the Candecomp/PARAFAC Decomposition with Circulant Factors

Gérard Favier, José Henrique de Morais Goulart, G. Favier, 2014, SIAM J. Matrix Anal. Appl..

Efficient Kernel Computation for Volterra Filter Structure Evaluation

José Henrique de Morais Goulart, Phillip M. S. Burt, P. Burt, 2012, IEEE Signal Processing Letters.

A Study on Tensor and Matrix Models for Super-Resolution Fluorescence Microscopy

Laure Blanc-Féraud, José Henrique de Morais Goulart, E. Debreuve, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

An iterative hard thresholding algorithm with improved convergence for low-rank tensor recovery

Gérard Favier, José Henrique de Morais Goulart, G. Favier, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Tensor CP Decomposition With Structured Factor Matrices: Algorithms and Performance

Pierre Comon, Gérard Favier, Rémy Boyer, 2016, IEEE Journal of Selected Topics in Signal Processing.

Evaluating the potential of Volterra-PARAFAC IIR models

José Henrique de Morais Goulart, Phillip M. S. Burt, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A novel non-iterative algorithm for low-multilinear-rank tensor approximation

Pierre Comon, José Henrique de Morais Goulart, P. Comon, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Statistical efficiency of structured CPD estimation applied to Wiener-Hammerstein modeling

Pierre Comon, Gérard Favier, Rémy Boyer, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

On the minimal ranks of matrix pencils and the existence of a best approximate block-term tensor decomposition pdf

Pierre Comon, José Henrique de Morais Goulart, 2017, ArXiv.

Coherence Constrained Alternating Least Squares

Pierre Comon, Rodrigo Cabral Farias, José Henrique de Morais Goulart, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Volterra kernels of bilinear systems have tensor train structure

José Henrique de Morais Goulart, Phillip M. S. Burt, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Non-iterative low-multilinear-rank tensor approximation with application to decomposition in rank-(1,L,L) terms

Pierre Comon, José Henrique de Morais Goulart, P. Comon, 2017 .