Technical Program

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MP.L2: Classification I

Session Type: Lecture
Time: Monday, October 8, 14:10 - 15:50
Location: MC3
Session Chair: Pascal Frossard, École Polytechnique Fédérale de Lausanne (EPFL)
 
 MP.L2.1: DEEP METRIC LEARNING AND IMAGE CLASSIFICATION WITH NEAREST NEIGHBOUR GAUSSIAN KERNELS
         Benjamin J. Meyer; Monash University
         Ben Harwood; Monash University
         Tom Drummond; Monash University
 
 MP.L2.2: DISCRIMINATIVE HALLUCINATION FOR MULTI-MODAL FEW-SHOT LEARNING
         Frederik Pahde; Humboldt Universität Berlin, SAP SE
         Moin Nabi; SAP SE
         Tassilo Klein; SAP SE
         Patrick Jähnichen; Humboldt Universität Berlin
 
 MP.L2.3: ACCELERATING SIMILARITY-BASED DISCRIMINANT ANALYSIS USING CLASS-SPECIFIC PROTOTYPES
         Nikolaos Passalis; Aristotle University of Thessaloniki
         Anastasios Tefas; Aristotle University of Thessaloniki
 
 MP.L2.4: ELASTIC PATH2PATH: AUTOMATED MORPHOLOGICAL CLASSIFICATION OF NEURONS BY ELASTIC PATH MATCHING
         Tamal Batabyal; University of Virginia
         Scott T. Acton; University of Virginia
 
 MP.L2.5: FOOD IMAGE RECOGNITION BY PERSONALIZED CLASSIFIER
         Qing Yu; The University of Tokyo
         Masashi Anzawa; The University of Tokyo
         Sosuke Amano; The University of Tokyo
         Makoto Ogawa; foo.log Inc.
         Kiyoharu Aizawa; The University of Tokyo