2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

MLSP-16: ML and Graphs

Session Type: Poster
Time: Wednesday, 9 June, 14:00 - 14:45
Location: Gather.Town
Session Chair: Pengtao Xie, University of California, San Diego
 
MLSP-16.1: LEARNING ON HETEROGENEOUS GRAPHS USING HIGH-ORDER RELATIONS
         See Hian Lee; Nanyang Technological University
         Feng Ji; Nanyang Technological University
         Wee Peng Tay; Nanyang Technological University
 
MLSP-16.2: INCOMPLETE MULTI-VIEW SUBSPACE CLUSTERING WITH LOW-RANK TENSOR
         Jianlun Liu; Guangdong University of Technology
         Shaohua Teng; Guangdong University of Technology
         Wei Zhang; Guangdong University of Technology
         Xiaozhao Fang; Guangdong University of Technology
         Lunke Fei; Guangdong University of Technology
         Zhuxiu Zhang; Guangdong University of Technology
 
MLSP-16.3: CHANNEL-WISE MIX-FUSION DEEP NEURAL NETWORKS FOR ZERO-SHOT LEARNING
         Guowei Wang; Tianjin University
         Naiyang Guan; National Innovation Institute of Defense Technology
         Hanjia Ye; Nanjing University
         Xiaodong Yi; National Innovation Institute of Defense Technology
         Hang Cheng; National Innovation Institute of Defense Technology
         Junjie Zhu; National Innovation Institute of Defense Technology
 
MLSP-16.4: ONLINE UNSUPERVISED LEARNING USING ENSEMBLE GAUSSIAN PROCESSES WITH RANDOM FEATURES
         Georgios V. Karanikolas; University of Minnesota
         Qin Lu; University of Minnesota
         Georgios B. Giannakis; University of Minnesota
 
MLSP-16.5: DIMENSION SELECTED SUBSPACE CLUSTERING
         Shuoyang Li; University of Surrey
         Yuhui Luo; National Physical Laboratory
         Jonathon Chambers; University of Leicester
         Wenwu Wang; University of Surrey