69 citations · 218 across the 11 of their papers we have counts for
11 papers
ROHSA: Regularized Optimization for Hyper-Spectral Analysis - Application to phase separation of 21 cm data
Antoine Marchal, Marc-Antoine Miville-Deschenes, Francois Orieux +5
Extracting the multiphase structure of the neutral interstellar medium (ISM) is key to understand the star formation in galaxies. The radiative condensation of the diffuse warm neu…
When does OMP achieve exact recovery with continuous dictionaries?
Clément Elvira, Rémi Gribonval, Charles Soussen +1
This paper presents new theoretical results on sparse recovery guarantees for a greedy algorithm, Orthogonal Matching Pursuit (OMP), in the context of continuous parametric diction…
Construction of extended 3D field of views of the internal bladder wall surface: a proof of concept
Achraf Ben-Hamadou, Christian Daul, Charles Soussen
3D extended field of views (FOVs) of the internal bladder wall facilitate lesion diagnosis, patient follow-up and treatment traceability. In this paper, we propose a 3D image mosai…
Comparative study of image registration techniques for bladder video-endoscopy
Achraf Ben-Hamadou, Charles Soussen, Walter Blondel +2
Bladder cancer is widely spread in the world. Many adequate diagnosis techniques exist. Video-endoscopy remains the standard clinical procedure for visual exploration of the bladde…
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)
L. Jacques, C. De Vleeschouwer, Y. Boursier +64
The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between interna…
Homotopy based algorithms for -regularized least-squares
Charles Soussen, Jérôme Idier, Junbo Duan +1
Sparse signal restoration is usually formulated as the minimization of a quadratic cost function , where A is a dictionary and x is an unknown sparse vector. It is we…
Relaxed Recovery Conditions for OMP/OLS by Exploiting both Coherence and Decay
Cédric Herzet, Angélique Drémeau, Charles Soussen
We propose extended coherence-based conditions for exact sparse support recovery using orthogonal matching pursuit (OMP) and orthogonal least squares (OLS). Unlike standard uniform…
Exact Recovery Conditions for Sparse Representations with Partial Support Information
C. Herzet, C. Soussen, J. Idier +1
We address the exact recovery of a k-sparse vector in the noiseless setting when some partial information on the support is available. This partial information takes the form of ei…
Coherence-based Partial Exact Recovery Condition for OMP/OLS
Cedric Herzet, Charles Soussen, Jerome Idier +1
We address the exact recovery of the support of a k-sparse vector with Orthogonal Matching Pursuit (OMP) and Orthogonal Least Squares (OLS) in a noiseless setting. We consider the…
Joint k-step analysis of Orthogonal Matching Pursuit and Orthogonal Least Squares
Charles Soussen, Rémi Gribonval, Jérôme Idier +1
Tropp's analysis of Orthogonal Matching Pursuit (OMP) using the Exact Recovery Condition (ERC) is extended to a first exact recovery analysis of Orthogonal Least Squares (OLS). We…
A sufficient condition on monotonic increase of the number of nonzero entry in the optimizer of L1 norm penalized least-square problem
J. Duan, Charles Soussen, David Brie +2
The -1 norm based optimization is widely used in signal processing, especially in recent compressed sensing theory. This paper studies the solution path of the -1 norm…