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
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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 |
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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 |
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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. |
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TQ-L5.4: ENSEMBLE DIVERSITY ANALYSIS ON REMOTE SENSING DATA CLASSIFICATION USING RANDOM FORESTS |
Samia Boukir; Bordeaux Institute of Technology |
Andrew Mellor; RMIT University |
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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 |
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