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2020 – today
- 2022
[c20]Sophia Sulis
, David Mary, Lionel Bigot:
Semi-Supervised Standardized Detection of Periodic Signals with Application to Exoplanet Detection. ICASSP 2022: 5797-5801
2010 – 2019
- 2017
- [j5]Sophia Sulis, David Mary, Lionel Bigot:
A Study of Periodograms Standardized Using Training Datasets and Application to Exoplanet Detection. IEEE Trans. Signal Process. 65(8): 2136-2150 (2017) - [c19]Sophia Sulis, David Mary, Lionel Bigot:
A bootstrap method for sinusoid detection in colored noise and uneven sampling. Application to exoplanet detection. EUSIPCO 2017: 1095-1099 - [c18]Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary:
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. EUSIPCO 2017: 1435-1439 - [i3]Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary:
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. CoRR abs/1703.03608 (2017) - 2016
- [c17]Jeremy Deguignet, André Ferrari, David Mary, Chiara Ferrari:
Distributed multi-frequency image reconstruction for radio-interferometry. EUSIPCO 2016: 1483-1487 - [c16]Loïc Denis, André Ferrari, David Mary, Laurent M. Mugnier, Éric Thiébaut:
Fast and robust detection of a known pattern in an image. EUSIPCO 2016: 2206-2210 - [c15]Sophia Sulis, David Mary, Lionel Bigot:
Using hydrodynamical simulations of stellar atmospheres for periodogram standardization: Application to exoplanet detection. ICASSP 2016: 4428-4432 - 2015
- [c14]Antony Schutz, André Ferrari, David Mary, Éric Thiébaut, Ferréol Soulez:
Large scale 3D image reconstruction in optical interferometry. EUSIPCO 2015: 474-478 - [i2]André Ferrari, David Mary, Rémi Flamary, Cédric Richard:
Distributed image reconstruction for very large arrays in radio astronomy. CoRR abs/1507.00501 (2015) - 2014
- [j4]Rita Ammanouil, André Ferrari, Cédric Richard, David Mary:
Blind and Fully Constrained Unmixing of Hyperspectral Images. IEEE Trans. Image Process. 23(12): 5510-5518 (2014) - [j3]Raja Fazliza Raja Suleiman, David Mary, André Ferrari:
Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios. IEEE Trans. Signal Process. 62(22): 5973-5986 (2014) - [c13]Raja Fazliza Raja Suleiman, David Mary, André Ferrari:
Subspace learning in minimax detection. ICASSP 2014: 3062-3066 - [c12]David Mary, André Ferrari, Silvia Paris:
Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument. ICIP 2014: 6031-6035 - [c11]André Ferrari, David Mary, Rémi Flamary, Cédric Richard:
Distributed image reconstruction for very large arrays in radio astronomy. SAM 2014: 389-392 - [c10]David Mary, André Ferrari:
A non-asymptotic standardization of binomial counts in Higher Criticism. ISIT 2014: 561-565 - [c9]Rita Ammanouil, André Ferrari, Cédric Richard, David Mary:
GLUP: Yet another algorithm for blind unmixing of hyperspectral data. WHISPERS 2014: 1-4 - [i1]Antony Schutz, André Ferrari, David Mary, Ferréol Soulez, Éric Thiébaut, Martin Vannier:
PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry. CoRR abs/1407.1885 (2014) - 2013
- [j2]Silvia Paris, David Mary, André Ferrari:
Detection Tests Using Sparse Models, With Application to Hyperspectral Data. IEEE Trans. Signal Process. 61(6): 1481-1494 (2013) - [c8]Silvia Paris, Raja Fazliza Raja Suleiman, David Mary, André Ferrari:
Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data. ICASSP 2013: 3947-3951 - [c7]Raja Fazliza Raja Suleiman, David Mary, André Ferrari:
Minimax sparse detection based on one-class classifiers. ICASSP 2013: 5553-5557 - 2012
- [c6]Arwa Dabbech, David Mary, Chiara Ferrari:
Astronomical image deconvolution using sparse priors: An analysis-by-synthesis approach. ICASSP 2012: 3665-3668 - 2011
- [j1]Sébastien Bourguignon, David Mary, Éric Slezak:
Restoration of Astrophysical Spectra With Sparsity Constraints: Models and Algorithms. IEEE J. Sel. Top. Signal Process. 5(5): 1002-1013 (2011) - [c5]Silvia Paris, David Mary, André Ferrari:
PDR and LRMAP detection tests applied to massive hyperspectral data. CAMSAP 2011: 93-96 - [c4]Silvia Paris, David Mary, André Ferrari, Sébastien Bourguignon:
Sparsity-based composite detection tests. application to astrophysical hyperspectral data. EUSIPCO 2011: 1909-1913 - [c3]Henri Lantéri, Céline Theys, Cédric Richard, David Mary:
Regularized split gradient method for nonnegative matrix factorization. ICASSP 2011: 1133-1136 - [c2]Sébastien Bourguignon, Hervé Carfantan, Éric Slezak, David Mary:
Sparsity-based spatial-spectral restoration of muse astrophysical hyperspectral data cubes. WHISPERS 2011: 1-4 - 2010
- [c1]Sébastien Bourguignon, David Mary, Éric Slezak:
Sparsity-based denoising of hyperspectral astrophysical data with colored noise: Application to the MUSE instrument. WHISPERS 2010: 1-4
Coauthor Index
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