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-38: Neural Networks for Clustering and Classification

Session Type: Poster
Time: Thursday, 10 June, 16:30 - 17:15
Location: Gather.Town
Session Chair: Hichem Sahbi, Sorbonne University
 
MLSP-38.1: GRAPHNET: GRAPH CLUSTERING WITH DEEP NEURAL NETWORKS
         Xianchao Zhang; Dalian University of Technology
         Jie Mu; Dalian University of Technology
         Han Liu; Dalian University of Technology
         Xiaotong Zhang; Dalian University of Technology
 
MLSP-38.2: ATTENTION ENHANCED SPATIAL TEMPORAL NEURAL NETWORK FOR HRRP RECOGNITION
         Yuchen Chu; Shandong University
         Zunhua Guo; Shandong University
 
MLSP-38.3: DHCN: DEEP HIERARCHICAL CONTEXT NETWORKS FOR IMAGE ANNOTATION
         Mingyuan Jiu; Zhengzhou University
         Hichem Sahbi; CNRS Sorbonne University
 
MLSP-38.4: ONLINE CLASSIFICATION OF DYNAMIC MULTILAYER-NETWORK TIME SERIES IN RIEMANNIAN MANIFOLDS
         Cong Ye; University at Buffalo, State University of New York
         Konstantinos Slavakis; University at Buffalo, State University of New York
         Johan Nakuci; University at Buffalo, State University of New York
         Sarah Muldoon; University at Buffalo, State University of New York
         John Medaglia; Drexel University
 
MLSP-38.5: ON THE POWER OF DEEP BUT NAIVE PARTIAL LABEL LEARNING
         Junghoon Seo; SI Analytics Co. Ltd
         Joon Suk Huh; UW—Madison
 
MLSP-38.6: ADVANCES IN MORPHOLOGICAL NEURAL NETWORKS: TRAINING, PRUNING AND ENFORCING SHAPE CONSTRAINTS
         Nikolaos Dimitriadis; Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Petros Maragos; National Technical University of Athens (NTUA)