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MA.L9: Classification I

Session Type: Lecture
Time: Monday, September 26, 10:30 - 12:30
Location: Room 102 B
Session Chair: Nikolaos Boulgouris, Brunel University London
 
Presented 10:30 - 10:50
   MA.L9.1: CONTENT-ADAPTIVE PYRAMID REPRESENTATION FOR 3D OBJECT CLASSIFICATION
         Tsampikos Kounalakis; Brunel University London
         Nikolaos Boulgouris; Brunel University London
         Georgios Triantafyllidis; Aalborg University
 
Presented 10:50 - 11:10
   MA.L9.2: GAZE LATENT SUPPORT VECTOR MACHINE FOR IMAGE CLASSIFICATION
         Xin Wang; university of paris 6
         Nicolas Thome; university of paris 6
         Matthieu Cord; university of paris 6
 
Presented 11:10 - 11:30
   MA.L9.3: CLASSIFICATION WITH MIXTURES OF CURVED MAHALANOBIS METRICS
         Frank Nielsen; Ecole Polytechnique
         Boris Muzellec; Ecole Polytechnique
         Richard Nock; Data61
 
Presented 11:30 - 11:50
   MA.L9.4: RANDOM FEATURE MAPS VIA A LAYERED RANDOM PROJECTION (LARP) FRAMEWORK FOR OBJECT CLASSIFICATION
         Audrey Chung; University of Waterloo
         Mohammad Javad Shafiee; University of Waterloo
         Alexander Wong; University of Waterloo
 
Presented 11:50 - 12:10
   MA.L9.5: MANIFOLD CONVEX HULL (MACH): SATISFYING A NEED FOR SPD
         Kun Zhao; The University of Queensland
         Arnold Wiliem; The University of Queensland
         Shaokang Chen; The University of Queensland
         Brian C. Lovell; The University of Queensland
 
Presented 12:10 - 12:30
  MA.L9.6: HYPERSPECTRAL IMAGE CLASSIFICATION VIA KERNEL EXTREME LEARNING MACHINE USING LOCAL RECEPTIVE FIELDS
         Qi Lv; National University of Defense Technology
         Xin Niu; National University of Defense Technology
         Yong Dou; National University of Defense Technology
         Yueqing Wang; National University of Defense Technology
         Jiaqing Xu; National University of Defense Technology
         Jie Zhou; National University of Defense Technology