Technical Program

TQ-L5: Learning for Recognition

Session Type: Lecture
Time: Tuesday, September 19, 16:30 - 18:10
Location: Room 309A
Session Chair: Wu Liu, Beijing University of Post and Telecommunication
 
TQ-L5.1: ENCYCLOPEDIA ENHANCED SEMANTIC EMBEDDING FOR ZERO-SHOT LEARNING
         Zhen Jia; Institute of Automation, Chinese Academy of Sciences
         Junge Zhang; Institute of Automation, Chinese Academy of Sciences
         Kaiqi Huang; Institute of Automation, Chinese Academy of Sciences
         Tieniu Tan; Institute of Automation, Chinese Academy of Sciences
 
TQ-L5.2: COMMUNITY DETECTION USING RANDOM-WALK SIMILARITY AND APPLICATION TO IMAGE CLUSTERING
         Makoto Okuda; National Institute of Information and Communications Technology
         Shin'ichi Satoh; National Institute of Informatics
         Shoichiro Iwasawa; National Institute of Information and Communications Technology
         Shunsuke Yoshida; National Institute of Information and Communications Technology
         Yutaka Kidawara; National Institute of Information and Communications Technology
         Yoichi Sato; The University of Tokyo
 
TQ-L5.3: MULTI LAYER MULTI OBJECTIVE EXTREME LEARNING MACHINE
         Chamara Kasun Liyanaarachchi Lekamalage; Nanyang Technological University
         Kang Song; Nanyang Technological University
         Guang-bin Huang; Nanyang Technological University
         Dongshun Cui; Nanyang Technological University
         Ken Liang; Delta Electronics Inc.
 
TQ-L5.4: ENSEMBLE DIVERSITY ANALYSIS ON REMOTE SENSING DATA CLASSIFICATION USING RANDOM FORESTS
         Samia Boukir; Bordeaux Institute of Technology
         Andrew Mellor; RMIT University
 
TQ-L5.5: THREE BIRDS, ONE STONE: SIMULTANEOUS OBJECT DETECTION, RECOGNITION, AND PROFILING USING PHASE ENCODED MACE FILTERS
         Chandrasekhar Bhagavatula; Carnegie Mellon University
         Felix Juefei-Xu; Carnegie Mellon University
         Jason Wang; Carnegie Mellon University
         Marios Savvides; Carnegie Mellon University