David Brie

Orcid: 0000-0002-2373-3480

According to our database1, David Brie authored at least 94 papers between 1995 and 2024.

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

Timeline

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Bibliography

2024
Polarimetric Fourier Phase Retrieval.
SIAM J. Imaging Sci., March, 2024

Physically-Constrained Block-Term Tensor Decomposition for Polarimetric Image Recovery.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Quaternions in Signal and Image Processing: A comprehensive and objective overview.
IEEE Signal Process. Mag., September, 2023

On factorization of rank-one auto-correlation matrix polynomials.
CoRR, 2023

Coupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Background Correction Algorithm for Hyperspectral Images.
Proceedings of the 31st European Signal Processing Conference, 2023

Probability Mass Function Estimation Approaches with Application to Flow Cytometry Data Analysis.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
A General Framework for Constrained Convex Quaternion Optimization.
IEEE Trans. Signal Process., 2022

Constrained Cramér-Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions.
Signal Process., 2022

Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image.
SIAM J. Imaging Sci., 2022

Coupled Tensor Factorization for Flow Cytometry Data Analysis.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

2021
Boolean decomposition of binary matrices using a post-nonlinear mixture approach.
Signal Process., 2021

Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE J. Sel. Top. Signal Process., 2021

Tensor-based framework for training flexible neural networks.
CoRR, 2021

A tensor-based approach for training flexible neural networks.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Coupled Tensor Models Accounting for Inter-image Variability.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Hyperspectral Super-Resolution With Coupled Tucker Approximation: Recoverability and SVD-Based Algorithms.
IEEE Trans. Signal Process., 2020

Quaternion Non-Negative Matrix Factorization: Definition, Uniqueness, and Algorithm.
IEEE Trans. Signal Process., 2020

Tensor methods for multisensor signal processing.
IET Signal Process., 2020

Rigid Registration of Monomodal and Multimodal Images for Wood Pieces Analysis.
Proceedings of the 4th IEEE International Conference on Image Processing, 2020

Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

On Cramér-Rao Lower Bounds with Random Equality Constraints.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Semi-Supervised Rank Tracking Algorithm For On-Line Unmixing Of Hyperspectral Images.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Online Deconvolution for Industrial Hyperspectral Imaging Systems.
SIAM J. Imaging Sci., 2019

A Parallelizable Framework for Segmenting Piecewise Signals.
IEEE Access, 2019

Analysis of Hyperspectral Images Using Supervised Learning Techniques.
Proceedings of the 23rd International Conference on System Theory, Control and Computing, 2019

Coupled Tensor Low-rank Multilinear Approximation for Hyperspectral Super-resolution.
Proceedings of the IEEE International Conference on Acoustics, 2019

Boolean CP Decomposition of Binary Tensors: Uniqueness and Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2019

Joint unmixing-deconvolution algorithms for hyperspectral images.
Proceedings of the 27th European Signal Processing Conference, 2019

Uniqueness of Tensor Train Decomposition with Linear Dependencies.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Performance Bounds for Coupled CP Model in the Framework of Hyperspectral Super-Resolution.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Quaternion Non-negative Matrix Factorization: a new tool for spectropolarimetric imaging.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Characterization of Finite Signals with Low-Rank Stft.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

On-Line Blind Unmixing For Hyperspectral Pushbroom Imaging Systems.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

All-Automatic 3D BIM Modeling of Existing Buildings.
Proceedings of the Product Lifecycle Management to Support Industry 4.0, 2018

Estimation of the Regularization Parameter of an On-Line NMF with Minimum Volume Constraint.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Modélisation de connaissances métier pour la classification de pièces de bois.
Proceedings of the IC 2018 : 29es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 29th French Knowledge Engineering Conference), 2018

2017
A simultaneous sparse approximation method for multidimensional harmonic retrieval.
Signal Process., 2017

A post-nonlinear mixture model approach to binary matrix factorization.
Proceedings of the 25th European Signal Processing Conference, 2017

Online deconvolution for pushbroom hyperspectral imaging systems.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Regularization Parameter Estimation for Non-Negative Hyperspectral Image Deconvolution.
IEEE Trans. Image Process., 2016

Transient Performance Analysis of Zero-Attracting LMS.
IEEE Signal Process. Lett., 2016

Generalized LASSO with under-determined regularization matrices.
Signal Process., 2016

A sparse approach for DOA estimation with a multiple spatial invariance sensor array.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

A regularized sparse approximation method for hyperspectral image classification.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Minimum distance criterion for non-negative hyperspectral image deconvolution.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Homotopy Based Algorithms for ℓ<sub>0</sub>-Regularized Least-Squares.
IEEE Trans. Signal Process., 2015

Multilinear direction finding for sensor-array with multiple scales of invariance.
IEEE Trans. Aerosp. Electron. Syst., 2015

Impact of sparse representation on the admissible solutions of spectral unmixing by non-negative matrix factorization.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Some Rank Conditions for the Identifiability of the Sparse Paralind Model.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

An optimal method to segment piecewise poisson distributed signals with application to sequencing data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Simultaneous regularized sparse approximation for wood wastes NIR spectra features selection.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Does Deblurring Improve Geometrical Hyperspectral Unmixing?
IEEE Trans. Image Process., 2014

ℓ<sub>2</sub>-ℓ<sub>0</sub> regularization path tracking algorithms.
CoRR, 2014

A non-negative multilinear block tensor decomposition approach to flow cytometry data analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Sequential deconvolution - Unmixing of blurred hyperspectral data.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Greedy methods for simultaneous sparse approximation.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Fast Positive Deconvolution of Hyperspectral Images.
IEEE Trans. Image Process., 2013

Sparse modal estimation of 2-D NMR signals.
Proceedings of the IEEE International Conference on Acoustics, 2013

A generalized acquisition scheme for vector cross-product direction findingwith spatially spread vector-sensor components.
Proceedings of the IEEE International Conference on Acoustics, 2013

Edge-preserving nonnegative hyperspectral image restoration.
Proceedings of the IEEE International Conference on Acoustics, 2013

CANDECOMP/PARAFAC (CP) direction finding with multi-scale array.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
On LARS/Homotopy Equivalence Conditions for Over-Determined LASSO.
IEEE Signal Process. Lett., 2012

Uni-mode and Partial Uniqueness Conditions for CANDECOMP/PARAFAC of Three-Way Arrays with Linearly Dependent Loadings.
SIAM J. Matrix Anal. Appl., 2012

The effect of polarization separation on the performance of Candecomp/Parafac-based vector sensor array processing.
Phys. Commun., 2012

Sparse multidimensional modal analysis using a multigrid dictionary refinement.
EURASIP J. Adv. Signal Process., 2012

Sparse multigrid modal estimation: Initial grid selection.
Proceedings of the 20th European Signal Processing Conference, 2012

A blind sparse approach for estimating constraint matrices in Paralind data models.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
From Bernoulli-Gaussian Deconvolution to Sparse Signal Restoration.
IEEE Trans. Signal Process., 2011

A CANDECOMP/PARAFAC Perspective on Uniqueness of DOA Estimation Using a Vector Sensor Array.
IEEE Trans. Signal Process., 2011

A sufficient condition on monotonic increase of the number of nonzero entry in the optimizer of L1 norm penalized least-square problem.
CoRR, 2011

Fast deconvolution of large fluorescence hyperspectral images.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

An uniqueness condition for the 4-way CANDECOMP/PARAFAC model with collinear loadings in three modes.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Approximate joint diagonalization by nonorthogonal nonparametric Jacobi transformations.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
On the modeling and processing of polarization in Raman spectroscopy.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Complexity reduction by convex cone detection for unmixing hyperspectral images of bacterial biosensors.
Proceedings of the 17th European Signal Processing Conference, 2009

A subband algorithm for estimating the parameters of two-dimensional exponential signals.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation.
Neurocomputing, 2008

Modeling of force-volume images in atomic force microscopy.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Identifiability of the parafac model for polarized source mixture on a vector sensor array.
Proceedings of the IEEE International Conference on Acoustics, 2008

Estimation of the parameters of two-dimensional NMR spectroscopy signals using an adapted subband decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2008

DOA estimation for polarized sources on a vector-sensor array by PARAFAC decomposition of the fourth-order covariance tensor.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Metal transfer characterization with an active contour algorithm in MIG/MAG welding movies.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2007

2006
Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling.
IEEE Trans. Signal Process., 2006

Design of Local Filters for the Deconvolution of Electron Energy Loss Spectrum.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Non-Linear Weighting Function for Non-Stationary Signal Denoising.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Regularization aspects in continuous-time model identification.
Autom., 2005

Non-negative source separation: range of admissible solutions and conditions for the uniqueness of the solution.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Combined A Priori Knowledge And Structural Model Closed-Loop Identification Of High Temperature Industrial Furnaces.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Sparse spike train deconvolution using the hunt filter and a thresholding method.
IEEE Signal Process. Lett., 2004

A Bayesian method for positive source separation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Baseline spectrum estimation using half-quadratic minimization.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

1997
The reduced-interference local Wigner-Ville distribution.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1995
Examination of gearbox cracks using time-frequency distributions.
Proceedings of the 1995 International Conference on Acoustics, 1995


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