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FR1.13: Novelty Detection and One-class Classification

Session Type: Oral
Time: Friday, July 27, 08:20 - 10:00
Location: Room 14B
Session Chairs: Diego Fernandez Prieto, ESA and Lorenzo Bruzzone, University of Trento
 
  FR1.13.FR1.13.1: SEMI-SUPERVISED AND UNSUPERVISED NOVELTY DETECTION USING NESTED SUPPORT VECTOR MACHINES
         Frank de Morsier; École Polytechnique Fédérale de Lausanne
         Maurice Borgeaud; European Space Agency
         Christoph Küchler; RUAG Schweiz AG
         Volker Gass; École Polytechnique Fédérale de Lausanne
         Jean-Philippe Thiran; École Polytechnique Fédérale de Lausanne
 
  FR1.13.FR1.13.2: DISCOVERING SINGLE CLASSES IN REMOTE SENSING IMAGES WITH ACTIVE LEARNING
         Mirco Furlani; University of Trento
         Devis Tuia; EPFL Lausanne
         Jordi Munoz-Mari; Universidad de Valencia
         Francesca Bovolo; University of Trento
         Gustavo Camps-Valls; Universidad de Valencia
         Lorenzo Bruzzone; University of Trento
 
  FR1.13.FR1.13.3: A NOVEL APPROACH TO TARGETED LAND-COVER CLASSIFICATION OF REMOTE-SENSING IMAGES
         Mattia Marconcini; European Space Agency
         Diego Fernández-Prieto; European Space Agency
 
  FR1.13.FR1.13.4: GPU-ACCELERATED ONE-CLASS SVM FOR EXPLORATION OF REMOTE SENSING DATA
         Fabien Giannesini; Office National d'Etudes et de Recherches Aérospatiale - The French Aerospace Lab
         Bertrand Le Saux; Office National d'Etudes et de Recherches Aérospatiale - The French Aerospace Lab
 
  FR1.13.FR1.13.5: INCLUDING INVARIANCES IN SVM REMOTE SENSING IMAGE CLASSIFICATION
         Emma Izquierdo-Verdiguier; Universistat de València
         Valero Laparra; Universitat de Valencia
         Luis Gómez-Chova; Universistat de València
         Gustavo Camps-Valls; Universistat de València