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Sparse DSI: Learning DSI structure for denoising and fast imaging
International audience -
A blind sparse approach for estimating constraint matrices in Paralind data m...
International audience -
Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient...
International audience -
Refined Adaptive Optics simulation with wide field of view for the E-ELT
Refined simulation tools for wide field AO systems (such as MOAO, MCAO or LTAO) on ELTs present new challenges. Increasing the number of degrees of freedom (scales as... -
REPRESENTATION ET ALGORITHMES PARCIMONIEUX POUR LA TOMOGRAPHIE PIV
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Beyond brain reading: randomized sparsity and clustering to simultaneously pr...
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Identifying predictive regions from fMRI with TV-L1 prior
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Estimation de fonctions géométriques et déconvolution
The presented work is divided into three parts. At first, we show that the formalism of model selection allows to bound the decay rate of the estimation error of a... -
Near-optimal Binary Compressed Sensing Matrix
Manuscript submitted to IEEE Transaction on Information Theory, 2013. -
Regularization in Relevance Learning Vector Quantization Using l one Norms
International audience -
Sparse Sampling in Phase Space: Theory and Applications
International audience -
Eigenvalue asymptotics for Schrödinger operators on sparse graphs
much better version.
