Publications

You can also check my publications directly on HAL  or  Google scholar.

Optimality of 1-norm regularization among weighted 1-norms for sparse recovery: a case study on how to find optimal regularizations. Y. Traonmilin and S. Vaiter, Preprint 2018.

Compressive Statistical Learning with Random Feature Moments. R. Gribonval, G. Blanchard, N. Keriven  and Y. Traonmilin, Preprint, 2017.

Compressed sensing in Hilbert spaces.  Y. Traonmilin, G. Puy, R. Gribonval and M. E. Davies, Compressed Sensing and Its Applications, (Book chapter), 2017.

Compressive K-means. N. Keriven, N. Tremblay, Y. Traonmilin and R. Gribonval, ICASSP, 2017.

Phase Unmixing : Multichannel Source Separation with Magnitude Constraints. A. Deleforge and Y. Traonmilin, ICASSP, 2017.

A framework for low-complexity signal recovery and its application to structured sparsity. Y. Traonmilin and R. Gribonval, 2016 IEEE Information Theory Workshop (ITW), Cambridge, pp. 156-160,   2016.

Stable recovery of low-dimensional cones in Hilbert spaces: One RIP to rule them all. Applied and Computational Harmonic Analysis, Y. Traonmilin and R. Gribonval, 2015.

Robust Multi-image Processing With Optimal Sparse Regularization. Y. Traonmilin, S. Ladjal, and A. Almansa, JMIV, 2014. The final
publication is available at http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s10851-014-0532-1.

Simultaneous High Dynamic Range and Super-Resolution Imaging Without Regularization.
Y. Traonmilin and C. Aguerrebere, SIIMS, 2013.

Quantification de la robustesse de la super-résolution par minimisation L1
Y. Traonmilin, S. Ladjal, and A. Almansa,
23ème Colloque Gretsi (Gretsi 2013), Brest : France (2013).

Outlier removal power of the L1-Norm Super-Resolution.
Y. Traonmilin, Saïd Ladjal, and Andrés Almansa.
Scale Space and Variational Methods in Computer Vision, volume 7893 of Lecture Notes in Computer Science.

On the amount of regularization for super-resolution reconstruction.
Y. Traonmilin, Saïd Ladjal, and Andrés Almansa, Technical report, 2012.

On the amount of regularization for Super-Resolution interpolation.
Y. Traonmilin, Saïd Ladjal, and Andrés Almansa.
In 20th European Signal Processing Conference 2012 (EUSIPCO 2012), Bucharest, Romania, August 2012.

Previous work (Geophysical signal processing, main author)

Statics-preserving projection filtering.
Y. Traonmilin and N. Gulunay. Geophysical Prospecting, 2012.

Statics preserving projection filtering.
Y. Traonmilin and N. Gulunay. SEG Technical Program Expanded Abstracts, 30(1):3638–3642, 2011.

Multi-dip estimation in n dimensions.
Y. Traonmilin, G. Lambaré, P. Herrmann, N. Deladerriere and K. Garceran. 71st EAGE Conference & Exhibition, 2009.

Structurally consistent f-x filtering.
Y. Traonmilin and P. Herrmann. SEG Technical Program Expanded Abstracts, 27(1):2642–2646, 2008.

Publicités