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BEGIN:VEVENT
UID:5483@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20120927T140000
DTEND;TZID=Europe/Paris:20120927T150000
DTSTAMP:20241028T214414Z
URL:https://www.i2m.univ-amu.fr/evenements/s-takerkart-lif-learning-from-s
 tructured-fmri-patterns-using-graph-kernels/
SUMMARY: (LIF\, Aix-Marseille Université): Sylvain TAKERKART - Learning fr
 om structured fMRI patterns using graph kernels
DESCRIPTION:: Learning from structured fMRI patterns using graph kernels. (
 by Sylvain Takerkart\, LIF).\nClassification of medical images in multi-su
 bjects settings is a difficult challenge due to the variability that exist
 s between individuals. Here we introduce a new graph-based framework speci
 fically designed to deal with inter-subject functional variability present
  in functional MRI data. A graphical representation is built to encode the
  functional\\\, geometric and structural properties of local activation pa
 tterns. The design of a specific graph kernel allows to conduct SVM classi
 fication directly in graph space. I will present results obtained on both 
 simulated and real datasets\, describe potential applications and discuss 
 future directions for this work.
CATEGORIES:Séminaire,Signal et Apprentissage
LOCATION:I2M Chateau-Gombert - CMI\, 39 Rue Joliot Curie\, Marseille\, 1301
 3\, France
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TZID:Europe/Paris
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DTSTART:20120325T030000
TZOFFSETFROM:+0100
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