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

SPTM-15: Graph Topology Inference and Clustering

Session Type: Poster
Time: Thursday, 10 June, 14:00 - 14:45
Location: Gather.Town
 
SPTM-15.1: LEARNING BOLLOBÁS-RIORDAN GRAPHS UNDER PARTIAL OBSERVABILITY
         Michele Cirillo; University of Salerno
         Vincenzo Matta; University of Salerno
         Ali H. Sayed; Ecole Polytechnique Fédérale de Lausanne (EPFL)
 
SPTM-15.2: LEARNING SPARSE GRAPH LAPLACIAN WITH K EIGENVECTOR PRIOR VIA ITERATIVE GLASSO AND PROJECTION
         Saghar Bagheri; York University
         Gene Cheung; York University
         Antonio Ortega; University of Southern California
         Fen Wang; Xidian University
 
SPTM-15.3: LEARNING MIXED MEMBERSHIP FROM ADJACENCY GRAPH VIA SYSTEMATIC EDGE QUERY: IDENTIFIABILITY AND ALGORITHM
         Shahana Ibrahim; Oregon State University
         Xiao Fu; Oregon State University
 
SPTM-15.4: CONVERGENCE ANALYSIS OF THE GRAPH-TOPOLOGY-INFERENCE KERNEL LMS ALGORITHM
         Mircea Moscu; Université Côte d'Azur
         Ricardo Borsoi; Université Côte d'Azur
         Cédric Richard; Université Côte d'Azur
 
SPTM-15.5: AN EFFICIENT ALTERNATING DIRECTION METHOD FOR GRAPH LEARNING FROM SMOOTH SIGNALS
         Xiaolu Wang; The Chinese University of Hong Kong
         Chaorui Yao; The Chinese University of Hong Kong
         Haoyu Lei; The Chinese University of Hong Kong
         Anthony Man-Cho So; The Chinese University of Hong Kong
 
SPTM-15.6: TOPOLOGICAL VOLTERRA FILTERS
         Geert Leus; Delft University of Technology
         Maosheng Yang; Delft University of Technology
         Mario Coutino; Delft University of Technology
         Elvin Isufi; Delft University of Technology