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pro vyhledávání: '"Soubies, Emmanuel"'
We propose a new class of exact continuous relaxations of l0-regularized criteria involving non-quadratic data terms such as the Kullback-Leibler divergence and the logistic regression, possibly combined with an l2 regularization. We first prove the
Externí odkaz:
http://arxiv.org/abs/2402.06483
We show that structural information can be extracted from single molecule localization microscopy (SMLM) data. More precisely, we reinterpret SMLM data as the measures of a phaseless optical diffraction tomography system for which the illumination so
Externí odkaz:
http://arxiv.org/abs/2307.09261
We design algorithms for Robust Principal Component Analysis (RPCA) which consists in decomposing a matrix into the sum of a low rank matrix and a sparse matrix. We propose a deep unrolled algorithm based on an accelerated alternating projection algo
Externí odkaz:
http://arxiv.org/abs/2307.05893
Non-negative and bounded-variable linear regression problems arise in a variety of applications in machine learning and signal processing. In this paper, we propose a technique to accelerate existing solvers for these problems by identifying saturate
Externí odkaz:
http://arxiv.org/abs/2202.07258
Non-negative matrix factorization with transform learning (TL-NMF) is a recent idea that aims at learning data representations suited to NMF. In this work, we relate TL-NMF to the classical matrix joint-diagonalization (JD) problem. We show that, whe
Externí odkaz:
http://arxiv.org/abs/2112.05664
Publikováno v:
Journal of Machine Learning Research, 2021, 22 (236), pp.1-57
Sparse optimization problems are ubiquitous in many fields such as statistics, signal/image processing and machine learning. This has led to the birth of many iterative algorithms to solve them. A powerful strategy to boost the performance of these a
Externí odkaz:
http://arxiv.org/abs/2102.10846
Single-particle cryo-electron microscopy (cryo-EM) reconstructs the three-dimensional (3D) structure of bio-molecules from a large set of 2D projection images with random and unknown orientations. A crucial step in the single-particle cryo-EM pipelin
Externí odkaz:
http://arxiv.org/abs/2003.10062
Autor:
Pham, Thanh-an, Soubies, Emmanuel, Ayoub, Ahmed, Lim, Joowon, Psaltis, Demetri, Unser, Michael
Publikováno v:
IEEE Transactions on Computational Imaging, vol. 6, pp. 727-738, 2020
A broad class of imaging modalities involve the resolution of an inverse-scattering problem. Among them, three-dimensional optical diffraction tomography (ODT) comes with its own challenges. These include a limited range of views, a large size of the
Externí odkaz:
http://arxiv.org/abs/1910.13844
Akademický článek
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Autor:
Soubies, Emmanuel
Cette thèse s'intéresse à deux problèmes rencontrés en traitement du signal et des images. Le premierconcerne la reconstruction 3D de structures biologiques à partir d'acquisitions multi-angles enmicroscopie par réflexion totale interne (MA-TI
Externí odkaz:
http://www.theses.fr/2016AZUR4082/document