Jérôme Bobin

Digit. Signal Process., August, 2023

An autoencoder-based model for learning regularizations in unmixing problems.

[BibT_eX]

[DOI]

Christophe Bobin

Cheick Thiam

Digit. Signal Process., July, 2023

Data-driven templates with dictionary learning and sparse representations for photometric redshift estimation.

[BibT_eX]

[DOI]

Astron. Comput., July, 2023

Semi-Blind Source Separation with Learned Constraints.

[BibT_eX]

[DOI]

Fabio Acero

Signal Process., 2023

Sushi: Learning-Based Hyperspectral Image Unmixing with Spectral Variabilities.

[BibT_eX]

[DOI]

Julia Lascar

Fabio Acero

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

2022

Blind Source Separation with Non-Coplanar Interferometric Data.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

Unrolling PALM for Sparse Semi-Blind Source Separation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Joint deconvolution and unsupervised source separation for data on the sphere.

[BibT_eX]

[DOI]

Digit. Signal Process., 2021

2020

Sparse BSS From Poisson Measurements.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Faster and better sparse blind source separation through mini-batch optimization.

[BibT_eX]

[DOI]

Christophe Kervazo

T. Liaudat

Digit. Signal Process., 2020

Use of PALM for <i>ℓ</i><sub>1</sub> sparse matrix factorization: Difficulty and rationalization of a two-step approach.

[BibT_eX]

[DOI]

Digit. Signal Process., 2020

2019

Metric Learning for Semi-Supervised Sparse Source Separation with Spectral Examples.

[BibT_eX]

[DOI]

Fabio Acero

Adrien Picquenot

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Blind separation of a large number of sparse sources.

[BibT_eX]

[DOI]

Christophe Kervazo

Signal Process., 2018

Blind Source Separation with Outliers in Transformed Domains.

[BibT_eX]

[DOI]

Cécile Chenot

SIAM J. Imaging Sci., 2018

Sparse component separation from Poisson measurements.

[BibT_eX]

[DOI]

Imane El Hamzaoui

CoRR, 2018

Heuristics for Efficient Sparse Blind Source Separation.

[BibT_eX]

[DOI]

Christophe Kervazo

Proceedings of the 26th European Signal Processing Conference, 2018

Dictionary Learning for Photometric Redshift Estimation.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Blind separation of sparse sources in the presence of outliers.

[BibT_eX]

[DOI]

Cécile Chenot

Signal Process., 2017

Joint Multichannel Deconvolution and Blind Source Separation.

[BibT_eX]

[DOI]

Ming Jiang

SIAM J. Imaging Sci., 2017

Two-pixel polarimetric camera by compressive sensing.

[BibT_eX]

[DOI]

Julien Fade

Estéban Perrotin

CoRR, 2017

BSS with Corrupted Data in Transformed Domains.

[BibT_eX]

[DOI]

Cécile Chenot

Proceedings of the Latent Variable Analysis and Signal Separation, 2017

2016

Application of non-negative matrix factorization to LC/MS data.

[BibT_eX]

[DOI]

Signal Process., 2016

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

[BibT_eX]

[DOI]

Francesco Caltagirone

Valerio Cambareri

Pierre-Yves Gousenbourger

Vladimir S. Crnojevic

Carlos A. Gomez Gonzalez

Adriana Gonzalez

Mads Græsbøll Christensen

Tobias Lindstrøm Jensen

Andre Manoel

Hassan Mansour

Ali Mohammad-Djafari

Amirafshar Moshtaghpour

Fred Maurice Ngolè Mboula

CoRR, 2016

2015

Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Robust Sparse Blind Source Separation.

[BibT_eX]

[DOI]

Jérémy Rapin

IEEE Signal Process. Lett., 2015

2014

NMF with Sparse Regularizations in Transformed Domains.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Blind source separation based anomaly detection in multi-spectral images.

[BibT_eX]

[DOI]

Saima Ben Hadf

Arnaud Woiselle

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Sparse blind source separation for partially correlated sources.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Sparse and Non-Negative BSS for Noisy Data.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Hyperspectral fluorescence microscopy based on Compressive Sampling.

[BibT_eX]

[DOI]

CoRR, 2013

Sparse redundant formulations and non-negativity in Blind Source Separation.

[BibT_eX]

[DOI]

Proceedings of the 21st European Signal Processing Conference, 2013

2011

Hyperspectral BSS Using GMCA With Spatio-Spectral Sparsity Constraints.

[BibT_eX]

[DOI]

Yassir Moudden

IEEE Trans. Image Process., 2011

NESTA: A Fast and Accurate First-Order Method for Sparse Recovery.

[BibT_eX]

[DOI]

Stephen Becker

Emmanuel J. Candès

SIAM J. Imaging Sci., 2011

Source separation in cosmology, from global to local models.

[BibT_eX]

[DOI]

Florent Sureau

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

Astronomical Data Analysis and Sparsity: From Wavelets to Compressed Sensing.

[BibT_eX]

[DOI]

Proc. IEEE, 2010

Image Decomposition and Separation Using Sparse Representations: An Overview.

[BibT_eX]

[DOI]

Proc. IEEE, 2010

2009

Morphological Diversity and Sparsity for Multichannel Data Restoration.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2009

Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Signal Separation, 2009

Sparsity and morphological diversity for hyperspectral data analysis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2009

A fast and accurate first-order algorithm for compressed sensing.

[BibT_eX]

[DOI]

Emmanuel J. Candès

Proceedings of the International Conference on Image Processing, 2009

2008

Compressed Sensing in Astronomy.

[BibT_eX]

[DOI]

Roland Ottensamer

IEEE J. Sel. Top. Signal Process., 2008

2007

Morphological Component Analysis: An Adaptive Thresholding Strategy.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2007

Sparsity and Morphological Diversity in Blind Source Separation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2007

Morphological Diversity and Sparsity in Blind Source Separation.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006

Morphological diversity and source separation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2006

Enhanced Source Separation by Morphological Component Analysis.

[BibT_eX]

[DOI]

Yassir Moudden