E-LIB Suche - Ergebnisse für: Condat, Laurent

1

Proximal Splitting Algorithms for Convex Optimization: A To..:

Condat, Laurent ; Kitahara, Daichi ; Contreras, Andrés.
SIAM Review. 65 (2023) 2 - p. 375-435 , 2023

2

Joint Demosaicing and Fusion of Multiresolution Coded Acqui..:

Picone, Daniele ; Dalla Mura, Mauro ; Condat, Laurent
IEEE Transactions on Computational Imaging. 9 (2023) - p. 335-349 , 2023

Link: https://doi.org/10.1109/..

3

Dualize, Split, Randomize: Toward Fast Nonsmooth Optimizati..:

Salim, Adil ; Condat, Laurent ; Mishchenko, Konstantin.
Journal of Optimization Theory and Applications. 195 (2022) 1 - p. 102-130 , 2022

Link: https://doi.org/10.1007/..

4

Tikhonov Regularization of Circle-Valued Signals:

Condat, Laurent
IEEE Transactions on Signal Processing. 70 (2022) - p. 2775-2782 , 2022

Link: https://doi.org/10.1109/..

5

Distributed Proximal Splitting Algorithms with Rates and Ac..:

Condat, Laurent ; Malinovsky, Grigory ; Richtárik, Peter
Frontiers in Signal Processing. 1 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

6

Multiclass Dictionary-Based Statistical Iterative Reconstru..:

KAMOSHITA, Hiryu ; KITAHARA, Daichi ; FUJIMOTO, Ken'ichi..
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E104.A (2021) 4 - p. 702-713 , 2021

Link: https://doi.org/10.1587/..

7

Tree of Shapes Cut for Material Segmentation Guided by a De..:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Baderot, Julien ; Desvignes, Michel ; Condat, Laurent. - p. 2593-2597 , 2020

Link: https://doi.org/10.1109/..

8

Atomic norm minimization for decomposition into complex exp..:

Condat, Laurent
Journal of Approximation Theory. 258 (2020) - p. 105456 , 2020

Link: https://doi.org/10.1016/..

9

Real-Time Dual-Wavelength Time-Resolved Diffuse Optical Tom..:

Orive-Miguel, David ; Di Sieno, Laura ; Behera, Anurag...
Sensors. 20 (2020) 10 - p. 2815 , 2020

Link: https://doi.org/10.3390/..

10

A Convex Approach to Superresolution and Regularization of ..:

Polisano, Kévin ; Condat, Laurent ; Clausel, Marianne.
SIAM Journal on Imaging Sciences. 12 (2019) 1 - p. 211-258 , 2019

Link: https://doi.org/10.1137/..

11

Improving Localization of Deep Inclusions in Time-Resolved ..:

Orive-Miguel, David ; Hervé, Lionel ; Condat, Laurent.
Applied Sciences. 9 (2019) 24 - p. 5468 , 2019

Link: https://doi.org/10.3390/..

12

Nonsmooth convex optimization for structured illumination m..:

Boulanger, Jérôme ; Pustelnik, Nelly ; Condat, Laurent..
Inverse Problems. 34 (2018) 9 - p. 095004 , 2018

Link: https://doi.org/10.1088/..

13

Discrete Total Variation: New Definition and Minimization:

Condat, Laurent
SIAM Journal on Imaging Sciences. 10 (2017) 3 - p. 1258-1290 , 2017

Link: https://doi.org/10.1137/..

14

On-The-Fly Approximation of Multivariate Total Variation Mi..:

Frecon, Jordan ; Pustelnik, Nelly ; Abry, Patrice.
IEEE Transactions on Signal Processing. 64 (2016) 9 - p. 2355-2364 , 2016

Link: https://doi.org/10.1109/..

15

Fast projection onto the simplex and the $$\pmb {l}_\mathbf..:

Condat, Laurent
Mathematical Programming. 158 (2015) 1-2 - p. 575-585 , 2015

Link: https://doi.org/10.1007/..