Technical Program

C-3-2: Machine Learning and Data Analysis 2

All times are in New Zealand Time (UTC +13)
Presentation Time: Thursday, December 10, 15:30 - 17:15 Check your Time Zone
 
C-3-2.1: SEMI-SUPERVISED CONTRASTIVE LEARNING WITH GENERALIZED CONTRASTIVE LOSS AND ITS APPLICATION TO SPEAKER RECOGNITION
         Nakamasa Inoue; Tokyo Institute of Technology
         Keita Goto; Tokyo Institute of Technology
 
C-3-2.2: MPOP600: A MANDARIN POPULAR SONG DATABASE WITH ALIGNED AUDIO, LYRICS, AND MUSICAL SCORES FOR SINGING VOICE SYNTHESIS
         Chan-Chuan Chu; National Tsing Hua University
         Fu-Rong Yang; National Tsing Hua University
         Yi-Jhe Lee; National Tsing Hua University
         Yi-Wen Liu; National Tsing Hua University
         Shan-Hung Wu; National Tsing Hua University
 
C-3-2.3: IMPROVING KEYWORDS SPOTTING PERFORMANCE IN NOISE WITH AUGMENTED DATASET FROM VOCODED SPEECH
         Ruohao Li; University of Washington Bothell
         Kaibao Nie; University of Washington Bothell
 
C-3-2.4: DECODING MUSIC GENRES BASED ON HIGH RESOLUTION BRAIN ACTIVITY INFORMATION
         Qinhan Hou; Tianjin University
         Gaoyan Zhang; Tianjin University
 
C-3-2.5: 3D POINT CLOUD LABELING TOOL FOR DRIVING AUTOMATICALLY
         MingHui Li; Shenzhen Unity-Drive Innovation Technology Co, Ltd
         Yanshan Zhang; Zhengzhou University of Aeronautics
 
C-3-2.6: DETECTING OBJECT SURFACE KEYPOINTS FROM A SINGLE RGB IMAGE VIA DEEP LEARNING NETWORK FOR 6DOF POSE ESTIMATION
         Wen-Nung Lie; National Chung Cheng University
         Lee Aing; National Chung Cheng University
 
C-3-2.7: INTERVENTION FORCE-BASED IMITATION LEARNING FOR AUTONOMOUS NAVIGATION IN DYNAMIC ENVIRONMENTS
         Tomoya Yokoyama; Nagoya University
         Shunya Seiya; Nagoya University
         Eijiro Takeuchi; Nagoya University / Tier IV
         Kazuya Takeda; Nagoya University / Tier IV