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WA.L9: Classification III

Session Type: Lecture
Time: Wednesday, September 28, 10:30 - 12:30
Location: Room 102 B
Session Chair: Josiane Zerubia, INRIA
 
Presented 10:30 - 10:50
   WA.L9.1: UGRAD: A GRAPH-THEORETIC FRAMEWORK FOR CLASSIFICATION OF ACTIVITY WITH COMPLEMENTARY GRAPH BOUNDARY DETECTION
         Tamal Batabyal; University of Virginia
         Scott T. Acton; University of Virginia
         Andrea Vaccari; University of Virginia
 
Presented 10:50 - 11:10
   WA.L9.2: DEEPER AND WIDER FULLY CONVOLUTIONAL NETWORK COUPLED WITH CONDITIONAL RANDOM FIELDS FOR SCENE LABELING
         Kien Nguyen Thanh; Queensland University of Technology
         Clinton Fookes; Queensland University of Technology
         Sridha Sridharan; Queensland University of Technology
 
Presented 11:10 - 11:30
   WA.L9.3: CONTEXTUAL MULTI-SCALE IMAGE CLASSIFICATION ON QUADTREE
         Ihsen Hedhli; INRIA
         Gabriele Moser; University of Genoa
         Sebastiano B. Serpico; University of Genoa
         Josiane Zerubia; INRIA
 
Presented 11:30 - 11:50
   WA.L9.4: LEVERAGING 2D AND 3D CUES FOR FINE-GRAINED OBJECT CLASSIFICATION
         Xiaolong Wang; Samsung
         Robert (Bo) Li; Samsung
         Jon Currey; Samsung
 
Presented 11:50 - 12:10
   WA.L9.5: MULTI-SCALE FEATURE EXTRACTION APPROACHES FOR CLASSIFICATION OF INSAR AND PHASE GRADIENT INSAR IMAGES
         Nazli Deniz Cagatay; German Aerospace Center
         Mihai Datcu; German Aerospace Center
 
Presented 12:10 - 12:30
   WA.L9.6: NON-PARAMETRIC BOUNDS ON THE NEAREST NEIGHBOR CLASSIFICATION ACCURACY BASED ON THE HENZE-PENROSE METRIC
         Sally Ghanem; North Carolina State University
         Erik Skau; North Carolina State University
         Hamid Krim; North Carolina State University
         Hamilton Scott Clouse; Air Force Research Lab
         Wesam Sakla; Air Force Research Lab