Caroline Chaux

Orcid: 0000-0003-1056-673X

According to our database1, Caroline Chaux authored at least 53 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Support Exploration Algorithm for Sparse Support Recovery.
CoRR, 2023

Deep Unrolling for Nonconvex Robust Principal Component Analysis.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Map-Informed Unrolled Algorithms for Hyper-Parameter Estimation.
Proceedings of the IEEE International Conference on Image Processing, 2023

2021
Time-Frequency Fading Algorithms Based on Gabor Multipliers.
IEEE J. Sel. Top. Signal Process., 2021

2020
An adapted linear discriminant analysis with variable selection for the classification in high-dimension, and an application to medical data.
Comput. Stat. Data Anal., 2020

Filtering Out Time-Frequency Areas Using Gabor Multipliers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

β-NMF and Sparsity Promoting Regularizations for Complex Mixture Unmixing. Application to 2D HSQC NMR.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Being Low-Rank in the Time-Frequency Plane.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Phase Reconstruction for Time-Frequency Inpainting.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017
A Proximal Approach for Nonnegative Tensor Decomposition.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

2016
A Hamiltonian Monte Carlo Method for Non-Smooth Energy Sampling.
IEEE Trans. Signal Process., 2016

A block parallel majorize-minimize memory gradient algorithm.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
A New Stochastic Optimization Algorithm to Decompose Large Nonnegative Tensors.
IEEE Signal Process. Lett., 2015

Sparse adaptive template matching and filtering for 2D seismic images with dual-tree wavelets and proximal methods.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Sparse signal recovery using a Bernoulli generalized Gaussian prior.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal.
IEEE Trans. Signal Process., 2014

An EM Approach for Time-Variant Poisson-Gaussian Model Parameter Estimation.
IEEE Trans. Signal Process., 2014

Study of different strategies for the Canonical Polyadic decomposition of nonnegative third order tensors with application to the separation of spectra in 3D fluorescence spectroscopy.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Iterative poisson-Gaussian noise parametric estimation for blind image denoising.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A constrained-based optimization approach for seismic data recovery problems.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images Under Illumination Variation.
J. Math. Imaging Vis., 2013

A convex optimization approach for image resolution enhancement from compressed representations.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Seismic multiple removal with a primal-dual proximal algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2013

ML estimation of wavelet regularization hyperparameters in inverse problems.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration.
IEEE Trans. Signal Process., 2012

Poisson-Gaussian noise parameter estimation in fluorescence microscopy imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

A convex variational approach for multiple removal in seismic data.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization.
IEEE Trans. Image Process., 2011

OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille.
Traitement du Signal, 2011

A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity.
Signal Process., 2011

A Spatial Regularization Approach for Vector Quantization.
J. Math. Imaging Vis., 2011

Disparity map estimation under convex constraints using proximal algorithms.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2011

Image reconstruction from multiple sensors using stein's principle. Application to parallel MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

An EM approach for Poisson-Gaussian noise modeling.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Image quantization under spatial smoothness constraints.
Proceedings of the International Conference on Image Processing, 2010

Proximal methods for image restoration using a class of non-tight frame representations.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
A SURE approach for digital signal/image deconvolution problems.
IEEE Trans. Signal Process., 2009

Nested Iterative Algorithms for Convex Constrained Image Recovery Problems.
SIAM J. Imaging Sci., 2009

A wavelet-based quadratic extension method for image deconvolution in the presence of poisson noise.
Proceedings of the IEEE International Conference on Acoustics, 2009

Hybrid regularization for data restoration in the presence of Poisson noise.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
A Nonlinear Stein-Based Estimator for Multichannel Image Denoising.
IEEE Trans. Signal Process., 2008

A constrained forward-backward algorithm for image recovery problems.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Noise Covariance Properties in Dual-Tree Wavelet Decompositions.
IEEE Trans. Inf. Theory, 2007

2D Dual-Tree Complex Biorthogonal M-Band Wavelet Transform.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Analyse en ondelettes M-bandes en arbre dual; application à la restauration d'images.
PhD thesis, 2006

Image analysis using a dual-tree M-band wavelet transform.
IEEE Trans. Image Process., 2006

A New Estimator for Image Denoising Using a 2D Dual-Tree M-Band Wavelet Decomposition.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Iterative image deconvolution using overcomplete representations.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
2D dual-tree M-band wavelet decomposition.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Lapped Transforms and Hidden Markov Models for Seismic Data Filtering.
Int. J. Wavelets Multiresolution Inf. Process., 2004

Hilbert pairs of M-band orthonormal wavelet bases.
Proceedings of the 2004 12th European Signal Processing Conference, 2004


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