GeoStat is an INRIA project located at INRIA Bordeaux Sud-Ouest (INRIA BSO), inside the theme: applied mathematical computation and simulation, optimization, learning and statistical methods.
The team makes fundamental and applied research in the analysis of complex natural signals using paradigms and methods from Statistical Physics such as: scale invariance, predictability, universality classes. We study the parameters related to common statistical organization in different complex signals and systems, we derive new types of sparse and compact representations, and machine learning approaches. We are also developing tools for the analysis of complex signals that better match the statistical and geometrical organisation inside these data: as a typical example, we cite the evaluation of cascading properties of physical variables inside complex signals. GeoStat's research thematics are centered on the following theoretical developments:
and the following applied objectives:
Partners:
GeoStat is a member of GDR PHENIX. GeoStat is a member of GDR ISIS. GeoStat is a member of GDR AMF. |
Last Updated on Monday, 05 December 2022 23:11 |