Nelly Pustelnik
Orcid: 0000-0001-7310-1927
According to our database1,
Nelly Pustelnik
authored at least 83 papers
between 2008 and 2024.
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Bibliography
2024
IEEE Signal Process. Lett., 2024
2023
Signal Image Video Process., July, 2023
Theoretical and numerical comparison of first order algorithms for cocoercive equations and smooth convex optimization.
Signal Process., May, 2023
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers.
IEEE Trans. Signal Process., 2023
PNN: From proximal algorithms to robust unfolded image denoising networks and Plug-and-Play methods.
CoRR, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Combining Dual-Tree Wavelet Analysis and Proximal Optimization for Anisotropic Scale-Free Texture Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number.
Proceedings of the 31st European Signal Processing Conference, 2023
2022
Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data.
IEEE Trans. Signal Process., 2022
Proximal Based Strategies for Solving Discrete Mumford-Shah With Ambrosio-Tortorelli Penalization on Edges.
IEEE Signal Process. Lett., 2022
IEEE Signal Process. Lett., 2022
Convergence Rate Comparison of Proximal Algorithms for Non-Smooth Convex Optimization With an Application to Texture Segmentation.
IEEE Signal Process. Lett., 2022
The faster proximal algorithm, the better unfolded deep learning architecture ? The study case of image denoising.
Proceedings of the 30th European Signal Processing Conference, 2022
Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling.
Proceedings of the 30th European Signal Processing Conference, 2022
Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
IEEE J. Sel. Top. Signal Process., 2021
Automated Data-Driven Selection of the Hyperparameters for Total-Variation-Based Texture Segmentation.
J. Math. Imaging Vis., 2021
Approches variationnelles régularisées pour la résolution de problèmes inverses et pour l'apprentissage machine : de la modéisation aux algorithmes à grande échelle.
, 2021
2020
J. Signal Process. Syst., 2020
IEEE Trans. Image Process., 2020
Primal-dual splitting scheme with backtracking for handling with epigraphic constraint and sparse analysis regularization.
CoRR, 2020
Parameter-free and fast nonlinear piecewise filtering: application to experimental physics.
Ann. des Télécommunications, 2020
Scale-free Texture Segmentation: Expert Feature-based versus Deep Learning strategies.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
IEEE Signal Process. Lett., 2019
2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Joint Estimation of Local Variance and Local Regularity for Texture Segmentation. Application to Multiphase Flow Characterization.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
A New Proximal Method for Joint Image Restoration and Edge Detection with the Mumford-Shah Model.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Bayesian Selection for the ℓ<sub>2</sub>-Potts Model Regularization Parameter: 1-D Piecewise Constant Signal Denoising.
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Inf. Process. over Networks, 2017
IEEE J. Biomed. Health Informatics, 2017
IEEE Signal Process. Lett., 2017
Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
IEEE Trans. Signal Process., 2016
Non-Linear Wavelet Regression and Branch & Bound Optimization for the Full Identification of Bivariate Operator Fractional Brownian Motion.
IEEE Trans. Signal Process., 2016
Combining Local Regularity Estimation and Total Variation Optimization for Scale-Free Texture Segmentation.
IEEE Trans. Computational Imaging, 2016
CoRR, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016
Non-linear regression for bivariate self-similarity identification - application to anomaly detection in Internet traffic based on a joint scaling analysis of packet and byte counts.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Epigraphical projection and proximal tools for solving constrained convex optimization problems.
Signal Image Video Process., 2015
Local regularity, wavelet leaders and total variation based procedures for texture segmentation.
CoRR, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Estimating link-dependent Origin-Destination matrices from sample trajectories and traffic counts.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Intrapartum fetal heart rate classification from trajectory in Sparse SVM feature space.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
P-leader multifractal analysis and sparse SVM for intrapartum fetal acidosis detection.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
2014
IEEE Trans. Image Process., 2014
A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems.
IEEE Trans. Image Process., 2014
Empirical mode decomposition revisited by multicomponent non-smooth convex optimization.
Signal Process., 2014
An Evaluation of the Sparsity Degree for Sparse Recovery with Deterministic Measurement Matrices.
J. Math. Imaging Vis., 2014
A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems.
CoRR, 2014
A 2-D spectral analysis method to estimate the modulation parameters in structured illumination microscopy.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Non-smooth convex optimization for an efficient reconstruction in structured illumination microscopy.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Hybrid bayesian variational scheme to handle parameter selection in total variation signal denoising.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
Local regularity for texture segmentation: Combining wavelet leaders and proximal minimization.
Proceedings of the IEEE International Conference on Acoustics, 2013
An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
2012
IEEE Trans. Signal Process., 2012
Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I
CoRR, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
A greedy algorithm to extract sparsity degree for ℓ1/ℓ0-equivalence in a deterministic context.
Proceedings of the 20th European Signal Processing Conference, 2012
Proceedings of the 20th European Signal Processing Conference, 2012
2011
IEEE Trans. Image Process., 2011
OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille.
Traitement du Signal, 2011
J. Math. Imaging Vis., 2011
2010
Méthodes proximales pour la résolution de problèmes inverses : application à la tomographie par émission de positrons. (Proximal methods for the resolution of inverse problems : application to positron emission tomography).
PhD thesis, 2010
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
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
Proceedings of the 17th European Signal Processing Conference, 2009
2008
Proceedings of the 2008 16th European Signal Processing Conference, 2008