BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Semi-supervised and unsupervised kernel-based novelty detection wi
 th application to remote sensing images
DTSTART:20140613T170000
DTSTAMP:20260407T043221Z
UID:f085d68fb000c4200dd98a07bbda418ae58cedfdafaec74f8f9f7af6
CATEGORIES:Thesis defenses
DESCRIPTION:Frank DE MORSIER\nThesis director\; Prof. J.-Ph. Thiran\nElect
 rical Engineering doctoral program\nThesis Nr 6184
LOCATION:Salle EL A1 http://plan.epfl.ch/?room=ELA1
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR