BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Machine Learning for Linear Structure Segmentation
DTSTART:20130701T093000
DTSTAMP:20260406T170447Z
UID:594e293e3724ec8369730e871c363a4b71520f71da28793049831c71
CATEGORIES:Conferences - Seminars
DESCRIPTION:Mr. Amos Sironi\nEDIC Candidacy Exam:\nExam president: Prof. W
 ulfram Gerstner\nThesis director: Prof. Pascal Fua\nThesis co-director: .D
 r Vincent Lepetit\nCo-examiner: Prof. Matthias SeegerResearch ProposalLear
 ning to Detect Natural Image Boundaries Using Local Brightness\, Color and
  Texture Cues by David Martin\, Charless Fowlkes and Jitendra Malik.Emerge
 nce of Simple-Cell Receptive Field Properties by Learning a Sparse Code fo
 r Natural Images by Olshausen BA\, Field DJ.Reconstructing Loopy Curviline
 ar structures Using Integer Programming by E. Turetken\, F. Benmansour\, B
 . Andres\, H. Pfister and P. Fua.
LOCATION:BC 329 https://plan.epfl.ch/?room==BC%20329
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR