Tug of War games and PDEs on graphs with applications in image and high dimensional data processing

Autor: Hamza Ennaji, Yvain Quéau, Abderrahim Elmoataz

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)

Abstract The aim of this note is to revisit the connections between some stochastic games, namely Tug-of-War games, and a class of nonlocal PDEs on graphs. We consider a general formulation of Tug-of-War games which is shown to be related to many cla

Externí odkaz: https://doaj.org/article/bc25502887f94ee2861e8efe06f72b3e

Nonlocal Continuum Limits of p-Laplacian Problems on Graphs

Autor: Imad El Bouchairi, Jalal Fadili, Yosra Hafiene, Abderrahim Elmoataz

In this Element, the authors consider fully discretized p-Laplacian problems (evolution, boundary value and variational problems) on graphs. The motivation of nonlocal continuum limits comes from the quest of understanding collective dynamics in larg

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::988a137152dcd5f528fd46d48f941778
https://doi.org/10.1017/9781009327862

Mitosis Detection in Breast Cancer with Deep Learning: A New Approach

Autor: Abdelwahhab Boudjelal, Abderrahim Elmoataz, Youssef Chahir

Publikováno v: 2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::581978400116c831264da63d44926c09
https://doi.org/10.1109/icateee57445.2022.10093722

A Novel Iterative MLEM Image Reconstruction Algorithm Based on Beltrami Filter: Application to ECT Images

Autor: Abderrahim Elmoataz, Zoubeida Messali, Abdelwahhab Boudjelal, Bilal Attallah

Publikováno v: Tomography, Vol 7, Iss 26, Pp 286-300 (2021)
Tomography
Volume 7
Issue 3
Pages 26-300

The implementation of emission-computed tomography (ECT), including positron emission tomography and single-photon emission-computed tomography, has been an important research topic in recent years and is of significant and practical importance. Howe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f90e46693125c1ef6604370a7b046aa2
https://www.mdpi.com/2379-139X/7/3/26

Variational models for signal processing with Graph Neural Networks

Autor: Abderrahim Elmoataz, Julien Rabin, Amitoz Azad

Publikováno v: Scale Space and Variational Methods in Computer Vision
Scale Space and Variational Methods in Computer Vision, May 2021, Cabourg, France
Lecture Notes in Computer Science ISBN: 9783030755485
SSVM

This paper is devoted to signal processing on point-clouds by means of neural networks. Nowadays, state-of-the-art in image processing and computer vision is mostly based on training deep convolutional neural networks on large datasets. While it is a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63110f7518914acae0eafe8b5b553288
https://hal.archives-ouvertes.fr/hal-03249876