Nelly Pustelnik

According to our database1, Nelly Pustelnik authored at least 63 papers between 2008 and 2020.

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

Timeline

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Bibliography

2020
Sparse Hierarchical Interaction Learning with Epigraphical Projection.
J. Signal Process. Syst., 2020

Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model.
IEEE Trans. Image Process., 2020

Primal-dual splitting scheme with backtracking for handling with epigraphic constraint and sparse analysis regularization.
CoRR, 2020

A deep primal-dual proximal network for image restoration.
CoRR, 2020

Automated data-driven selection of the hyperparameters for Total-Variation based texture segmentation.
CoRR, 2020

2019
Discrete Mumford-Shah on Graph for Mixing Matrix Estimation.
IEEE Signal Process. Lett., 2019

Solving NMF with smoothness and sparsity constraints using PALM.
CoRR, 2019

2018
Multiclass SVM with Hierarchical Interaction: Application to Face Classification.
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

Block-Coordinate Proximal Algorithms for Scale-Free Texture Segmentation.
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

A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification.
IEEE J. Biomed. Health Informatics, 2017

Proximity Operator of a Sum of Functions; Application to Depth Map Estimation.
IEEE Signal Process. Lett., 2017

Sparse hierarchical interaction learning with epigraphical projection.
CoRR, 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
On-The-Fly Approximation of Multivariate Total Variation Minimization.
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

Bayesian selection for the regularization parameter in TVl0 denoising problems.
CoRR, 2016

Multiclass SVM with graph path coding regularization for face classification.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Random primal-dual proximal iterations for sparse multiclass SVM.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Multifractal-based texture segmentation using variational procedure.
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

A Proximal Approach for Sparse Multiclass SVM.
CoRR, 2015

Multivariate optimization for multifractal-based texture segmentation.
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

An improved variational mode decomposition method for internal waves separation.
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

On Wigner-based sparse time-frequency distributions.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
2D Prony-Huang Transform: A New Tool for 2D Spectral Analysis.
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

Inverse problem formulation for regularity estimation in images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2D Hilbert-Huang Transform.
Proceedings of the IEEE International Conference on Acoustics, 2014

Epigraphical proximal projection for sparse multiclass SVM.
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

Instantaneous counting of components in nonstationary signals.
Proceedings of the 21st European Signal Processing Conference, 2013

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

Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I
CoRR, 2012

A proximal approach for constrained cosparse modelling.
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

A multicomponent proximal algorithm for Empirical Mode Decomposition.
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

Proximal Algorithms for Multicomponent Image Recovery Problems.
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

Proximal method for geometry and texture image decomposition.
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
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 constrained forward-backward algorithm for image recovery problems.
Proceedings of the 2008 16th European Signal Processing Conference, 2008


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