David Mary

28 papers B 2Misc 7Journal 8Unranked 11
YearRankTypeTitle / Venue / Authors
2022 Misc conf
Semi-Supervised Standardized Detection of Periodic Signals with Application to Exoplanet Detection.
ICASSP
Sophia Sulis, David Mary, Lionel Bigot
2017 J jnl
A Study of Periodograms Standardized Using Training Datasets and Application to Exoplanet Detection.
IEEE Trans. Signal Process.
Sophia Sulis, David Mary, Lionel Bigot
2017 — conf
A bootstrap method for sinusoid detection in colored noise and uneven sampling. Application to exoplanet detection.
EUSIPCO
Sophia Sulis, David Mary, Lionel Bigot
2017 — conf
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters.
EUSIPCO
Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary
2017 J jnl
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters.
CoRR
Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary
2016 — conf
Distributed multi-frequency image reconstruction for radio-interferometry.
EUSIPCO
Jeremy Deguignet, André Ferrari, David Mary, Chiara Ferrari
2016 — conf
Fast and robust detection of a known pattern in an image.
EUSIPCO
Loïc Denis, André Ferrari, David Mary, Laurent M. Mugnier, Éric Thiébaut
2016 Misc conf
Using hydrodynamical simulations of stellar atmospheres for periodogram standardization: Application to exoplanet detection.
ICASSP
Sophia Sulis, David Mary, Lionel Bigot
2015 J jnl
Distributed image reconstruction for very large arrays in radio astronomy.
CoRR
André Ferrari, David Mary, Rémi Flamary, Cédric Richard
2015 — conf
Large scale 3D image reconstruction in optical interferometry.
EUSIPCO
Antony Schutz, André Ferrari, David Mary, Éric Thiébaut, Ferréol Soulez
2014 B conf
A non-asymptotic standardization of binomial counts in Higher Criticism.
ISIT
David Mary, André Ferrari
2014 J jnl
Blind and Fully Constrained Unmixing of Hyperspectral Images.
IEEE Trans. Image Process.
Rita Ammanouil, André Ferrari, Cédric Richard, David Mary
2014 B conf
Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument.
ICIP
David Mary, André Ferrari, Silvia Paris
2014 J jnl
Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios.
IEEE Trans. Signal Process.
Raja Fazliza Raja Suleiman, David Mary, André Ferrari
2014 — conf
Distributed image reconstruction for very large arrays in radio astronomy.
SAM
André Ferrari, David Mary, Rémi Flamary, Cédric Richard
2014 — conf
GLUP: Yet another algorithm for blind unmixing of hyperspectral data.
WHISPERS
Rita Ammanouil, André Ferrari, Cédric Richard, David Mary
2014 J jnl
PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry.
CoRR
Antony Schutz, André Ferrari, David Mary, Ferréol Soulez, Éric Thiébaut, Martin Vannier
2014 Misc conf
Subspace learning in minimax detection.
ICASSP
Raja Fazliza Raja Suleiman, David Mary, André Ferrari
2013 Misc conf
Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data.
ICASSP
Silvia Paris, Raja Fazliza Raja Suleiman, David Mary, André Ferrari
2013 J jnl
Detection Tests Using Sparse Models, With Application to Hyperspectral Data.
IEEE Trans. Signal Process.
Silvia Paris, David Mary, André Ferrari
2013 Misc conf
Minimax sparse detection based on one-class classifiers.
ICASSP
Raja Fazliza Raja Suleiman, David Mary, André Ferrari
2012 Misc conf
Astronomical image deconvolution using sparse priors: An analysis-by-synthesis approach.
ICASSP
Arwa Dabbech, David Mary, Chiara Ferrari
2011 — conf
PDR and LRMAP detection tests applied to massive hyperspectral data.
CAMSAP
Silvia Paris, David Mary, André Ferrari
2011 Misc conf
Regularized split gradient method for nonnegative matrix factorization.
ICASSP
Henri Lantéri, Céline Theys, Cédric Richard, David Mary
2011 J jnl
Restoration of Astrophysical Spectra With Sparsity Constraints: Models and Algorithms.
IEEE J. Sel. Top. Signal Process.
Sébastien Bourguignon, David Mary, Éric Slezak
2011 — conf
Sparsity-based composite detection tests. application to astrophysical hyperspectral data.
EUSIPCO
Silvia Paris, David Mary, André Ferrari, Sébastien Bourguignon
2011 — conf
Sparsity-based spatial-spectral restoration of muse astrophysical hyperspectral data cubes.
WHISPERS
Sébastien Bourguignon, Hervé Carfantan, Éric Slezak, David Mary
2010 — conf
Sparsity-based denoising of hyperspectral astrophysical data with colored noise: Application to the MUSE instrument.
WHISPERS
Sébastien Bourguignon, David Mary, Éric Slezak