Évènements / S3

S3 Seminar
Évènements à venir

Riemannian geometry for data analysis: illustration on blind source separation and low-rank structured covariance matrices

Speaker — Florent Bouchard (L2S — CNRS, Université Paris-Saclay, CentraleSupélec) https://s3-seminar.github.io/seminars/florent-bouchard/ Abstract — In this presentation, Riemannian geometry for data analysis is introduced. In particular, it is applied on two specific statistical signal processing problems: blind source separation and low-rank structured covariance matrices. Blind source separation can be solved by jointly diagonalizing some covariance matrices. […]


Contactless detection of cardiopulmonary activity for a person in different scenarios

Speaker — Sarah Samad (IETR-INSA Rennes, Rennes, France) Abstract — Nowadays, contact-less monitoring patient’s heartbeat using Doppler radar has attracted considerable interest of researchers, especially when the traditional electrocardiogram (ECG) measurements with fixed electrodes is not practical in some cases like infants at risk or sudden infant syndrome or burn victims. Due to the microwave […]


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 […]


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 […]


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 […]