Évènements / S3

S3 Seminar
Évènements à venir

Structured Sparsity Regularization for online MR Image Reconstruction in Accelerated T2* Imaging

Speaker — Philippe Ciuciu (CEA/NeuroSpin & Inria Saclay Île-de-France Parietal) Abstract — Reducing acquisition time is a major challenge in high-resolution MRI that has been successfully addressed by Compressed Sensing (CS) theory. While the scan time has been massively accelerated, the complexity of image recovery algorithms has strongly increased, resulting in slower reconstruction processes. In […]

09/10/2020

Robust Semiparametric Efficient Estimators in Complex Elliptically Symmetric Distributions

Speaker — Stefano Fortunati, (IPSA, Paris, France) The seminar will be online here (web based, no account needed) Abstract — Covariance matrices play a major role in statistics, signal processing and machine learning applications. This seminar focuses on the semiparametric covariance/scatter matrix estimation problem in elliptical distributions. The class of elliptical distributions can be seen […]

02/10/2020

Démélange spectral sur Mars

Orateur — Frédéric Schmidt (Géosciences Paris-Saclay, Université Paris-Saclay) Résumé — Les dé-mélange linéaire spectral supervisé et non-supervisé ont fait l’objet de nombreuses études en mathématique appliquée. Parmi les récentes avancées, la prise en compte de la positivité et de la parcimonie a suscité un engouement important dans ce domaine. La présentation détaillera plusieurs types d’applications […]

25/09/2020

An overview of cointegration tests in the time and frequency domains

Speaker — Igor Viveiros Melo Souza (Federal University of Belo Horizonte, Brazil) Abstract — Cointegrated and non-cointegrated processes from economic and econometric point of view, based on the time and frequency domain will be presented. Standard tests for cointegrated times series will be discussed as well as their advantages and drawbacks in financial area. In […]

16/12/2019

Vascular networks, from low-level vision to generative models

Speaker — Hugues Talbot (CVN, CentraleSupélec, INRIA, Université Paris-Saclay) Abstract — The study of vascular networks is important in medicalimaging because disease affecting blood vessels is the first cause ofmortality and morbidity in the Western world. Yet, surprisingly, theses studies have not been the subject of majorresearch efforts. From the low-level vision point of view, […]

27/11/2019