BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.2.3.1//EN
TZID:Europe/Paris
X-WR-TIMEZONE:Europe/Paris
BEGIN:VEVENT
UID:3345@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20200306T140000
DTEND;TZID=Europe/Paris:20200306T150000
DTSTAMP:20201207T131725Z
URL:https://www.i2m.univ-amu.fr/evenements/maximum-entropy-models-and-turb
 ulence/
SUMMARY:Sixin Zhang (IRIT\, Toulouse): Maximum-entropy models and Turbulenc
 e
DESCRIPTION:Sixin Zhang: We define maximum-entropy models of stationary pro
 cesses from non-linear representations. To capture coherent structures in 
 a random process such as Turbulent flows\, we focus on the problemof choos
 ing sufficient statistical moments. It amounts to find features correspond
 ing to the statistical patterns of coherent structures. A new set of covar
 iance moments are learnt-by-hand over the last few years. It brings about 
 a conceptual connection betweenthe rectifier non-linearity in convolutiona
 l neural networks and the phase in Fourier and wavelet representations. We
  conjecture that structures in the phase play a key role for pattern recog
 nition and high-dimensional data modeling. 
ATTACH;FMTTYPE=image/jpeg:https://www.i2m.univ-amu.fr/wp-content/uploads/2
 020/01/Sixin_Zhang.jpg
CATEGORIES:Séminaire,Signal et Apprentissage
LOCATION:I2M Chateau-Gombert - CMI\, Salle de Séminaire R164 (1er étage)\
 , 39 Rue Joliot Curie\, 13013 Marseille\, France\, Campus Château-Gombert
 \, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=39 Rue Joliot Curie\, 13013
  Marseille\, France\, Campus Château-Gombert\, ;X-APPLE-RADIUS=100;X-TITL
 E=I2M Chateau-Gombert - CMI\, Salle de Séminaire R164 (1er étage):geo:0,
 0
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20191027T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
END:STANDARD
END:VTIMEZONE
END:VCALENDAR