D. Brie

发表

Regularization Parameter Estimation for Non-Negative Hyperspectral Image Deconvolution

El-Hadi Djermoune, David Brie, Yingying Song, 2016, IEEE Transactions on Image Processing.

Edge-preserving nonnegative deconvolution of hyperspectral fluorescence microscopy images

D. Brie, S. Henrot, C. Soussen, 2015 .

Fast deconvolution of large fluorescence hyperspectral images

Charles Soussen, David Brie, Simon Henrot, 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

A Parallelizable Framework for Segmenting Piecewise Signals

Charles Soussen, David Brie, Jérôme Idier, 2019, IEEE Access.

Complexity reduction by convex cone detection for unmixing hyperspectral images of bacterial biosensors

Charles Soussen, David Brie, Sebastian Miron, 2009, 2009 17th European Signal Processing Conference.

Multilinear direction finding for sensor-array with multiple scales of invariance

Yang Song, David Brie, Kainam Thomas Wong, 2015, IEEE Transactions on Aerospace and Electronic Systems.

CONTOURS BASED APPROACH FOR THERMAL IMAGE AND TERRESTRIAL POINT CLOUD REGISTRATION

David Brie, Vincent Bombardier, D. Brie, 2013 .

Joint processing of the parallel and crossed polarized Raman spectra and uniqueness in blind nonnegative source separation

David Brie, Cédric Carteret, Sebastian Miron, 2011 .

Non-negative source separation using the maximum likelihood approach

S. Moussaoui, D. Brie, C. Carteret, 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.

Bayesian Positive Source Separation for Spectral Mixture Analysis

D. Brie, S. Moussaoui, S. Miron, 2016 .

NMR Data Analysis: A Time-Domain Parametric Approach Using Adaptive Subband Decomposition

D. Brie, E. Djermoune, M. Tomczak, 2014 .

Background removal from spectra by designing and minimising a non-quadratic cost function

Vincent Mazet, David Brie, Cédric Carteret, 2005 .

Decomposition of a Chemical Spectrum using a Marked Point Process and a Constant Dimension Model

D. Brie, J. Idier, V. Mazet, 2006 .

Analysis of Force‐Volume Images in Atomic Force Microscopy Using Sparse Approximation

D. Brie, C. Soussen, J. Idier, 2015 .

Generalized LASSO with underdetermined regularization matrices

D. Brie, C. Soussen, J. Idier, 2016 .

Mars Hyperspectral Data Processing using ICA and Bayesian Positive Source Separation

C. Jutten, D. Brie, S. Moussaoui, 2006 .

DDB2 (damaged-DNA binding 2) protein: a new modulator of nanomechanical properties and cell adhesion of breast cancer cells.

A. Razafitianamaharavo, D. Brie, C. Soussen, 2016, Nanoscale.

Multicolor Whole-Cell Bacterial Sensing Using a Synchronous Fluorescence Spectroscopy-Based Approach

D. Brie, P. Billard, S. Miron, 2015, PloS one.

TWO-DIMENSIONAL NMR SIGNAL ANALYSIS WITH AN ADAPTED SUBBAND DECOMPOSITION

D. Brie, E. Djermoune, Gordana Kasalica, 2007 .

Joint analysis of flow cytometry data and fluorescence spectra as a non-negative array factorization problem

D. Brie, S. Moussaoui, S. Miron, 2014 .

University of Groningen Uni-mode and partial uniqueness conditions for Candecomp/Parafac of three-way arrays with linearly dependent loadings. Guo,

A. Stegeman, D. Brie, S. Miron, 2012 .

Polarimetric phase retrieval: uniqueness and algorithms

D. Brie, M. Clausel, K. Usevich, 2022, 2206.12868.

AN ACTIVE CONTOUR ALGORITHM FOR THE DETECTION OF DROPLETS IN MIG / MAG WELDING

F. Briand, D. Brie, E. Djermoune, 2006 .

Multicolor Whole-Cell Bacterial Sensing Using a Synchronous Fluorescence Spectroscopy-Based Approach

D. Brie, P. Billard, S. Miron, 2015, PloS one.

A multilinear direction finding (DF) approach for a sensor-array with multiple scales of invariance

K. T. Wong, D. Brie, S. Miron, 2013 .

Polarimetric phase retrieval: uniqueness and algorithms

D. Brie, M. Clausel, K. Usevich, 2022, 2206.12868.

A tensor-based approach for training flexible neural networks

D. Brie, K. Usevich, S. Miron, 2021, 2021 55th Asilomar Conference on Signals, Systems, and Computers.

Tensor-based framework for training flexible neural networks pdf

David Brie, Konstantin Usevich, Sebastian Miron, 2021, ArXiv.

Fast Positive Deconvolution of Hyperspectral Images

Charles Soussen, David Brie, Simon Henrot, 2013, IEEE Transactions on Image Processing.

Regularization aspects in continuous-time model identification

David Brie, Saïd Moussaoui, Alain Richard, 2005, Autom..

Modeling of force-volume images in atomic force microscopy

Charles Soussen, David Brie, Fabien Gaboriaud, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Atomic force microscopy imaging and related issues in signal processing: a preliminary work

D. Brie, C. Soussen, F. Gaboriaud, 2007 .

On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation

Jon Atli Benediktsson, Jocelyn Chanussot, Sylvain Douté, 2008, Neurocomputing.

Raman spectra of Ni–Mg kerolite: effect of Ni–Mg substitution on O–H stretching vibrations

D. Brie, M. Cathelineau, M. Caumon, 2015 .

Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling

D. Brie, A. Mohammad-Djafari, S. Moussaoui, 2006, IEEE Transactions on Signal Processing.

Simulation of postive normal variables using several proposal distributions

D. Brie, J. Idier, D. Brie, 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.

Spatio‐temporal evolution of Fosterella (Bromeliaceae) in the Central Andean biodiversity hotspot

D. Brie, P. Ibisch, G. Zizka, 2013 .

Bayesian analysis of spectral mixture data using Markov Chain Monte Carlo Methods

Ali Mohammad-Djafari, David Brie, Cédric Carteret, 2006 .

On-line Separation Of Smooth Pursuit And Saccadic Eye Movements

David Brie, Thierry Cecchin, D. Sauter, 1990, [1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automated Force Volume Image Processing for Biological Samples

Charles Soussen, David Brie, Junbo Duan, 2011, PloS one.

Coupled Tensor Factorization for Flow Cytometry Data Analysis

D. Brie, K. Usevich, A. Notarantonio, 2022, 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP).

Online Deconvolution for Industrial Hyperspectral Imaging Systems

Jie Chen, Cédric Richard, El-Hadi Djermoune, 2018, SIAM J. Imaging Sci..

Online deconvolution for pushbroom hyperspectral imaging systems

Jie Chen, Cédric Richard, El-Hadi Djermoune, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Homotopy based algorithms for L0-regularized least-squares

Charles Soussen, David Brie, Jérôme Idier, 2020 .

Homotopy Based Algorithms for $\ell _{\scriptscriptstyle 0}$-Regularized Least-Squares

Charles Soussen, David Brie, Jérôme Idier, 2014, IEEE Transactions on Signal Processing.

Generalized LASSO with under-determined regularization matrices

Charles Soussen, David Brie, Jérôme Idier, 2016, Signal Process..

A simultaneous sparse approximation method for multidimensional harmonic retrieval

Souleymen Sahnoun, El-Hadi Djermoune, David Brie, 2015, Signal Process..

Constrained Cramér-Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions

P. Comon, D. Brie, M. Haardt, 2022, Signal Process..

Tensor methods for multisensor signal processing

P. Comon, D. Brie, G. Favier, 2020, IET Signal Process..

Uniqueness of Tensor Train Decomposition with Linear Dependencies

David Brie, Remy Boyer, Sebastian Miron, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Some Rank Conditions for the Identifiability of the Sparse Paralind Model

David Brie, Sebastian Miron, D. Brie, 2015, LVA/ICA.

A non-negative multilinear block tensor decomposition approach to flow cytometry data analysis

David Brie, Sebastian Miron, Philippe Becuwe, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

CANDECOMP/PARAFAC (CP) direction finding with multi-scale array

Yang Song, David Brie, Kainam Thomas Wong, 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

A blind sparse approach for estimating constraint matrices in Paralind data models

David Brie, Sebastian Miron, Fabrice Caland, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Uni-mode and Partial Uniqueness Conditions for CANDECOMP/PARAFAC of Three-Way Arrays with Linearly Dependent Loadings

XIJING GUO, SEBASTIAN MIRON, DAVID BRIE, 2012, SIAM J. Matrix Anal. Appl..

A CANDECOMP/PARAFAC Perspective on Uniqueness of DOA Estimation Using a Vector Sensor Array

Shihua Zhu, David Brie, Xuewen Liao, 2011, IEEE Transactions on Signal Processing.

A Candecomp/Parafac approach to the estimation of environmental pollutant concentrations using biosensors

D. Brie, S. Miron, F. Caland, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

Micro-crystal orientations estimation in polarized Raman microscopy using an acquisition scheme with multiple diversities

D. Brie, S. Miron, C. Carteret, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

An uniqueness condition for the 4-way CANDECOMP/PARAFAC model with collinear loadings in three modes

David Brie, Sebastian Miron, Fabrice Caland, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Vector Sensor Array Processing for Polarized Sources Using a Quadrilinear Representation of the Data Covariance

David Brie, Xijing Guo, Sebastian Miron, 2010 .

On the modeling and processing of polarization in Raman spectroscopy

David Brie, Sebastian Miron, Manuel Dossot, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Identifiability of the parafac model for polarized source mixture on a vector sensor array

David Brie, Xijing Guo, Sebastian Miron, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

An ADMM-based algorithm with minimum dispersion regularization for on-line blind unmixing of hyperspectral images

Ludivine NUS, Sebastian MIRON, David BRIE, 2020 .

A General Framework for Constrained Convex Quaternion Optimization

David Brie, Julien Flamant, Sebastian Miron, 2021, IEEE Transactions on Signal Processing.

From Bernoulli–Gaussian Deconvolution to Sparse Signal Restoration

Charles Soussen, David Brie, Jérôme Idier, 2011, IEEE Transactions on Signal Processing.

Boolean decomposition of binary matrices using a post-nonlinear mixture approach

David Brie, Mamadou Diop, Anthony Larue, 2021, Signal Process..

Sparse multidimensional modal analysis using a multigrid dictionary refinement

D. Brie, E. Djermoune, C. Soussen, 2012, EURASIP J. Adv. Signal Process..

Binary Matrix Factorization applied to Netflix dataset analysis

David Brie, Anthony Larue, Sebastian Miron, 2019, IFAC-PapersOnLine.

Transient Performance Analysis of Zero-Attracting LMS

Jie Chen, Cédric Richard, David Brie, 2016, IEEE Signal Processing Letters.

Baseline spectrum estimation using half-quadratic minimization

Vincent Mazet, David Brie, Jérôme Idier, 2004, 2004 12th European Signal Processing Conference.

Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability

Ricardo Augusto Borsoi, Jos'e Carlos Moreira Bermudez, David Brie, 2020, IEEE Journal of Selected Topics in Signal Processing.

Does Deblurring Improve Geometrical Hyperspectral Unmixing?

Charles Soussen, David Brie, Simon Henrot, 2014, IEEE Transactions on Image Processing.

Learning nonlinearities in the decoupling problem with structured CPD

David Brie, Konstantin Usevich, Sebastian Miron, 2021, IFAC-PapersOnLine.

Coupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion

T. Adalı, D. Brie, K. Usevich, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On Cramér-Rao Lower Bounds with Random Equality Constraints

Pierre Comon, David Brie, E. Chaumette, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Modelling of the Spalled Rolling Element Bearing Vibration Signal: AN Overview and Some New Results

David Brie, D. Brie, 2000 .

Simultaneous variable selection for the classification of near infrared spectra

El-Hadi Djermoune, David Brie, Cédric Carteret, 2021 .

On LARS/Homotopy Equivalence Conditions for Over-Determined LASSO

Charles Soussen, David Brie, Jérôme Idier, 2012, IEEE Signal Processing Letters.

Quaternion Non-Negative Matrix Factorization: Definition, Uniqueness, and Algorithm

David Brie, Julien Flamant, Sebastian Miron, 2019, IEEE Transactions on Signal Processing.

A regularized sparse approximation method for hyperspectral image classification

El-Hadi Djermoune, David Brie, Cédric Carteret, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Simultaneous regularized sparse approximation for wood wastes NIR spectra features selection

El-Hadi Djermoune, David Brie, Cédric Carteret, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

A Bayesian method for positive source separation

Ali Mohammad-Djafari, David Brie, Saïd Moussaoui, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Coupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion

T. Adalı, D. Brie, K. Usevich, 2022, IEEE International Conference on Acoustics, Speech, and Signal Processing.

Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image

J. Bermudez, C. Richard, D. Brie, 2022, SIAM J. Imaging Sci..

A METHOD FOR ANALYSING GEARBOX FAULTS USING TIME–FREQUENCY REPRESENTATIONS

David Brie, H. Oehlmann, Marc Tomczak, 1997 .

An optimal method to segment piecewise poisson distributed signals with application to sequencing data

Charles Soussen, David Brie, Jérôme Idier, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A sparse approach for DOA estimation with a multiple spatial invariance sensor array

David Brie, Sebastian Miron, M.-A. Bisch, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Non-negative source separation: range of admissible solutions and conditions for the uniqueness of the solution

David Brie, Saïd Moussaoui, Jérôme Idier, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Coupled Tensor Models Accounting for Inter-image Variability

J. Bermudez, C. Richard, D. Brie, 2021, 2021 55th Asilomar Conference on Signals, Systems, and Computers.

Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion with Variability

Ricardo Augusto Borsoi, Jos'e Carlos Moreira Bermudez, C'edric Richard, 2020, 2006.16968.

Regularization Parameter Estimation for Non-Negative Hyperspectral Image Deconvolution

Yingying Song, D. Brie, E. Djermoune, 2016, IEEE Transactions on Image Processing.

Analysis of Hyperspectral Images Using Supervised Learning Techniques

David Brie, Sebastian Miron, Laura-Bianca Bilius, 2019, 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC).

ℓ2-ℓ0 Regularization Path Tracking Algorithms pdf

Charles Soussen, David Brie, Jérôme Idier, 2014, ArXiv.

Sparse multidimensional modal analysis using a multigrid dictionary refinement

D. Brie, E. Djermoune, C. Soussen, 2012, EURASIP Journal on Advances in Signal Processing.

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

Charles Soussen, David Brie, Jérôme Idier, 2011, ArXiv.

A continuation approach to estimate a solution path of mixed L2-L0 minimization problems

Charles Soussen, David Brie, Jérôme Idier, 2009 .

Sparse modal estimation of 2-D NMR signals

Souleymen Sahnoun, El-Hadi Djermoune, David Brie, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Sparse multigrid modal estimation: Initial grid selection

Souleymen Sahnoun, El-Hadi Djermoune, David Brie, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Analyse modale bidimensionnelle par approximation parcimonieuse et multirésolution

D. Brie, C. Soussen, El-Hadi Djermoune, 2011 .

Sparse multiresolution modal estimation

D. Brie, E. Djermoune, C. Soussen, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

A comparative study of subspace-based methods for 2-D nuclear magnetic resonance spectroscopy signals

Souleymen Sahnoun, El-Hadi Djermoune, David Brie, 2010 .

Estimation of the parameters of two-dimensional NMR spectroscopy signals using an adapted subband decomposition

El-Hadi Djermoune, David Brie, Gordana Kasalica, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Uni-mode and Partial Uniqueness Conditions for CANDECOMP/PARAFAC of Three-Way Arrays with Linearly Dependent Loadings

A. Stegeman, D. Brie, S. Miron, 2012, SIAM J. Matrix Anal. Appl..

Joint unmixing-deconvolution algorithms for hyperspectral images

David Brie, El-Hadi Djermoune, Yingying Song, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Sequential deconvolution — Unmixing of blurred hyperspectral data

Charles Soussen, David Brie, Simon Henrot, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Hyperspectral Super-Resolution With Coupled Tucker Approximation: Recoverability and SVD-Based Algorithms

Pierre Comon, David Brie, Clémence Prévost, 2018, IEEE Transactions on Signal Processing.

DOA estimation for polarized sources on a vector-sensor array by PARAFAC decomposition of the fourth-order covariance tensor

David Brie, Xijing Guo, Sebastian Miron, 2008, 2008 16th European Signal Processing Conference.