Mohamed-Jalal Fadili

According to our database1, Mohamed-Jalal Fadili authored at least 116 papers between 2000 and 2020.

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Bibliography

2020
Wasserstein Control of Mirror Langevin Monte Carlo.
CoRR, 2020

Learning CHARME models with (deep) neural networks.
CoRR, 2020

2019
On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence.
SIAM Journal on Optimization, 2019

Continuum Limits of Nonlocal p-Laplacian Variational Problems on Graphs.
SIAM J. Imaging Sciences, 2019

PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting.
J. Multivariate Analysis, 2019

Non-smooth Non-convex Bregman Minimization: Unification and New Algorithms.
J. Optimization Theory and Applications, 2019

Convergence Rates of Forward-Douglas-Rachford Splitting Method.
J. Optimization Theory and Applications, 2019

Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA).
Journal of Mathematical Imaging and Vision, 2019

Model Consistency for Learning with Mirror-Stratifiable Regularizers.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Model Consistency of Partly Smooth Regularizers.
IEEE Trans. Information Theory, 2018

Nonlocal p-Laplacian Evolution Problems on Graphs.
SIAM J. Numerical Analysis, 2018

Sensitivity Analysis for Mirror-Stratifiable Convex Functions.
SIAM Journal on Optimization, 2018

The Nonlocal p-Laplacian Evolution Problem on Graphs: The Continuum Limit.
Proceedings of the Image and Signal Processing - 8th International Conference, 2018

2017
Activity Identification and Local Linear Convergence of Forward-Backward-type Methods.
SIAM Journal on Optimization, 2017

Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers.
J. Optimization Theory and Applications, 2017

JMIV Special Issue Mathematics and Image Analysis.
Journal of Mathematical Imaging and Vision, 2017

2016
Convergence rates with inexact non-expansive operators.
Math. Program., 2016

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR, 2016

A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Sparse Support Recovery with Non-smooth Loss Functions.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Adaptive estimation of an additive regression function from weakly dependent data.
J. Multivariate Analysis, 2015

Guest Editorial: Mathematics and Image Analysis.
Journal of Mathematical Imaging and Vision, 2015

On Adaptive Wavelet Estimation of a Class of Weighted Densities.
Communications in Statistics - Simulation and Computation, 2015

Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2014
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection.
SIAM J. Imaging Sciences, 2014

Guest Editorial - JMIV Special Issue Mathematics and Image Analysis.
Journal of Mathematical Imaging and Vision, 2014

Low Complexity Regularization of Linear Inverse Problems.
CoRR, 2014

Partly Smooth Regularization of Inverse Problems.
CoRR, 2014

The Degrees of Freedom of Partly Smooth Regularizers.
CoRR, 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014

Local Linear Convergence of Forward-Backward under Partial Smoothness.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On the convergence rates of proximal splitting algorithms.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Robust Sparse Analysis Regularization.
IEEE Trans. Information Theory, 2013

Stabilizing Nonuniformly Quantized Compressed Sensing With Scalar Companders.
IEEE Trans. Information Theory, 2013

A Generalized Forward-Backward Splitting.
SIAM J. Imaging Sciences, 2013

Robust Polyhedral Regularization
CoRR, 2013

Stable Recovery with Analysis Decomposable Priors
CoRR, 2013

Astronomical Image Denoising Using Dictionary Learning
CoRR, 2013

Model Selection with Piecewise Regular Gauges.
CoRR, 2013

Adaptive Parameter Selection for Block Wavelet-Thresholding Deconvolution.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2012
The degrees of freedom of the Group Lasso for a General Design
CoRR, 2012

Risk estimation for matrix recovery with spectral regularization
CoRR, 2012

A quasi-Newton proximal splitting method.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Wasserstein active contours.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Unbiased risk estimation for sparse analysis regularization.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine.
IEEE Trans. Information Theory, 2011

Total Variation Projection With First Order Schemes.
IEEE Trans. Image Processing, 2011

Activelets: Wavelets for sparse representation of hemodynamic responses.
Signal Processing, 2011

Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing.
J. Sel. Topics Signal Processing, 2011

3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform.
Journal of Mathematical Imaging and Vision, 2011

The degrees of freedom of penalized l1 minimization
CoRR, 2011

Sharp Support Recovery from Noisy Random Measurements by L1 minimization
CoRR, 2011

Linear inverse problems with various noise models and mixed regularizations.
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools Communications, 2011

Weighted fidelity in non-uniformly quantized compressed sensing.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Inverse problems with poisson noise: Primal and primal-dual splitting.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Data augmentation for galaxy density map reconstruction.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Adaptive structured block sparsity via dyadic partitioning.
Proceedings of the 19th European Signal Processing Conference, 2011

Group sparsity with overlapping partition functions.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Learning the Morphological Diversity.
SIAM J. Imaging Sciences, 2010

Image Decomposition and Separation Using Sparse Representations: An Overview.
Proceedings of the IEEE, 2010

Region-Based Active Contours with Exponential Family Observations.
Journal of Mathematical Imaging and Vision, 2010

Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients.
Journal of Mathematical Imaging and Vision, 2010

MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting.
Computing in Science and Engineering, 2010

Une exploration des problèmes inverses par les représentations parcimonieuses et l'optimisation non lisse. (Exploring inverse problems with non-smooth optimization and sparse representations).
, 2010

Sparse Image and Signal Processing - Wavelets, Curvelets, Morphological Diversity.
Cambridge University Press, ISBN: 978-0-521-11913-9, 2010

2009
Numerical Issues When Using Wavelets.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Curvelets and Ridgelets.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations.
IEEE Trans. Image Processing, 2009

Morphological Diversity and Sparsity for Multichannel Data Restoration.
Journal of Mathematical Imaging and Vision, 2009

Inpainting and Zooming Using Sparse Representations.
Comput. J., 2009

Optimization of Divergences within the Exponential Family for Image Segmentation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

An overview of inverse problem regularization using sparsity.
Proceedings of the International Conference on Image Processing, 2009

DeQuantizing Compressed Sensing with non-Gaussian constraints.
Proceedings of the International Conference on Image Processing, 2009

Monotone operator splitting for optimization problems in sparse recovery.
Proceedings of the International Conference on Image Processing, 2009

Image deconvolution by stein block thresholding.
Proceedings of the International Conference on Image Processing, 2009

TV-regularized generation of planar images from omnicams.
Proceedings of the International Conference on Image Processing, 2009

Sparsity and morphological diversity for hyperspectral data analysis.
Proceedings of the International Conference on Image Processing, 2009

2008
Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal.
IEEE Trans. Image Processing, 2008

Deconvolution of confocal microscopy images using proximal iteration and sparse representations.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Region-based active contours and sparse representations for texture segmentation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
The Undecimated Wavelet Decomposition and its Reconstruction.
IEEE Trans. Image Processing, 2007

Morphological Component Analysis: An Adaptive Thresholding Strategy.
IEEE Trans. Image Processing, 2007

Sparsity and Morphological Diversity in Blind Source Separation.
IEEE Trans. Image Processing, 2007

Reply to comments of A. Achim, E. Kuruoglu, A. Bezerianos and P. Tsakalides on "A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior".
Pattern Recognition Letters, 2007

Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging.
Proceedings of the International Conference on Image Processing, 2007

Fast Time-Space Tracking of Smoothly Moving Fine Structures in Image Sequences.
Proceedings of the International Conference on Image Processing, 2007

Morphological Diversity and Sparse Image Denoising.
Proceedings of the IEEE International Conference on Acoustics, 2007

Morphological Diversity and Sparsity in Blind Source Separation.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior.
Pattern Recognition Letters, 2006

Region-Based Active Contour with Noise and Shape Priors.
Proceedings of the International Conference on Image Processing, 2006

Multi-Scale Variance Stabilizing Transform for Multi-Dimensional Poisson Count Image Denoising.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Statistical Region-Based Active Contours with Exponential Family Observations.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Wire Structure Pattern Extraction and Tracking From X-Ray Images of Composite Mechanisms.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities.
IEEE Trans. Image Processing, 2005

Fractional Gaussian noise, functional MRI and Alzheimer's disease.
NeuroImage, 2005

Multivariate statistical modeling of images with the curvelet transform.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

EM algorithm for sparse representation-based image inpainting.
Proceedings of the 2005 International Conference on Image Processing, 2005

Bayesian denoising based on the MAP estimation in wavelet-domain using Bessel K form prior.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Non-convex onion-peeling using a shape hull algorithm.
Pattern Recognition Letters, 2004

Dual Front Evolution Model and Its Application in Medical Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Penalized Partially Linear Models using Orthonormal Wavelet Bases with an Application to fMRI Time Series.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

A Multi-Label Front Propagation Approach for Object Segmentation.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Bayesian Denoising in the Wavelet-Domain Using an Analytical Approximate a-Stable Prior.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

3d medical image segmentation approach based on multi-label front propagation.
Proceedings of the 2004 International Conference on Image Processing, 2004

2002
Fuzzy Markovian Segmentation in Application of Magnetic Resonance Images.
Computer Vision and Image Understanding, 2002

2001
On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series.
Medical Image Analysis, 2001

Fast Statistical Level Sets Image Segmentation for Biomedical Applications.
Proceedings of the Scale-Space and Morphology in Computer Vision, 2001

Segmentation of magnetic resonance images using fuzzy Markov random fields.
Proceedings of the 2001 International Conference on Image Processing, 2001

Wavelet methods for characterising mono- and poly-fractal noise structures in shortish time series: an application to functional MRI.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling.
IEEE Trans. Med. Imaging, 2000

Phantom-based performance evaluation: Application to brain segmentation from magnetic resonance images.
Medical Image Analysis, 2000

Image Segmentation via Multiple Active Contour Models and Fuzzy Clustering with Biomedical Applications.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Unsupervised Segmentation of Three-Dimensional Brain Images.
Proceedings of the 15th International Conference on Pattern Recognition, 2000


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