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2010 – 2019
- 2016
[c5]Leila Belmerhnia, El-Hadi Djermoune, David Brie, Cédric Carteret
:
A regularized sparse approximation method for hyperspectral image classification. SSP 2016: 1-5- [c4]Shu Hui Ham, Morgan Ferte, Cédric Carteret, Gabriel Fricout, Jesús Angulo, Fabien Capon:
Hyperspectral imaging as an analytical tool for thin single and multilayer oxides characterization: A laboratory study. WHISPERS 2016: 1-5 - 2015
- [c3]Leila Belmerhnia, El-Hadi Djermoune, Cédric Carteret, David Brie:
Simultaneous regularized sparse approximation for wood wastes NIR spectra features selection. CAMSAP 2015: 437-440 - 2014
- [c2]Morgan Ferte, C. Roquelet, D. Glijer, Cédric Carteret, Gabriel Fricout:
On-line detection of oil on steel coils and thickness measurement using hyperspectral camera. WHISPERS 2014: 1-4 - 2013
- [j3]Marco De La Pierre, Cédric Carteret, Roberto Orlando, Roberto Dovesi:
Use of ab initio methods for the interpretation of the experimental IR reflectance spectra of crystalline compounds. J. Comput. Chem. 34(17): 1476-1485 (2013) - [c1]Morgan Ferte, D. Glijer, Cédric Carteret:
Online oil presence detection and thickness measurements on steel coils. WHISPERS 2013: 1-3
2000 – 2009
- 2009
- [j2]Nicolas Dobigeon, Saïd Moussaoui, Jean-Yves Tourneret, Cédric Carteret:
Bayesian separation of spectral sources under non-negativity and full additivity constraints. Signal Process. 89(12): 2657-2669 (2009) - 2006
- [j1]Saïd Moussaoui, David Brie, Ali Mohammad-Djafari, Cédric Carteret:
Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling. IEEE Trans. Signal Process. 54(11): 4133-4145 (2006)
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