David Mary

According to our database1, David Mary authored at least 25 papers between 2010 and 2017.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2017
A Study of Periodograms Standardized Using Training Datasets and Application to Exoplanet Detection.
IEEE Trans. Signal Process., 2017

A bootstrap method for sinusoid detection in colored noise and uneven sampling. Application to exoplanet detection.
Proceedings of the 25th European Signal Processing Conference, 2017

Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Using hydrodynamical simulations of stellar atmospheres for periodogram standardization: Application to exoplanet detection.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Fast and robust detection of a known pattern in an image.
Proceedings of the 24th European Signal Processing Conference, 2016

Distributed multi-frequency image reconstruction for radio-interferometry.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Large scale 3D image reconstruction in optical interferometry.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios.
IEEE Trans. Signal Process., 2014

Blind and Fully Constrained Unmixing of Hyperspectral Images.
IEEE Trans. Image Process., 2014

PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry.
CoRR, 2014

GLUP: Yet another algorithm for blind unmixing of hyperspectral data.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

A non-asymptotic standardization of binomial counts in Higher Criticism.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Distributed image reconstruction for very large arrays in radio astronomy.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Subspace learning in minimax detection.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Detection Tests Using Sparse Models, With Application to Hyperspectral Data.
IEEE Trans. Signal Process., 2013

Minimax sparse detection based on one-class classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2013

Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Astronomical image deconvolution using sparse priors: An analysis-by-synthesis approach.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Restoration of Astrophysical Spectra With Sparsity Constraints: Models and Algorithms.
IEEE J. Sel. Top. Signal Process., 2011

Sparsity-based spatial-spectral restoration of muse astrophysical hyperspectral data cubes.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Regularized split gradient method for nonnegative matrix factorization.
Proceedings of the IEEE International Conference on Acoustics, 2011

Sparsity-based composite detection tests. application to astrophysical hyperspectral data.
Proceedings of the 19th European Signal Processing Conference, 2011

PDR and LRMAP detection tests applied to massive hyperspectral data.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

2010
Sparsity-based denoising of hyperspectral astrophysical data with colored noise: Application to the MUSE instrument.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010


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