SS-9.7
INDEPENDENT VECTOR ANALYSIS VIA LOG-QUADRATICALLY PENALIZED QUADRATIC MINIMIZATION
Robin Scheibler, LINE Corporation, Japan
Session:
Processing Higher Order Network Data
Track:
Special Sessions
Location:
Gather Area A
Presentation Time:
Tue, 10 May, 22:00 - 22:45 China Time (UTC +8)
Tue, 10 May, 14:00 - 14:45 UTC
Tue, 10 May, 14:00 - 14:45 UTC
Session Co-Chairs:
Elvin Isufi, TU Delft and T. Mitchell Roddenberry, Rice University and Michael T. Schaub, RWTH Aachen University
Presentation
Discussion
Resources
No resources available.
Session SS-9
SS-9.1: HYPERGRAPHS WITH EDGE-DEPENDENT VERTEX WEIGHTS: SPECTRAL CLUSTERING BASED ON THE 1-LAPLACIAN
Yu Zhu, Boning Li, Santiago Segarra, Rice University, United States of America
SS-9.2: CAUSAL LINEAR TOPOLOGICAL FILTERS OVER A 2-SIMPLEX
Georg Essl, University of Wisconsin - Milwaukee, United States of America
SS-9.3: SIMPLICIAL CONVOLUTIONAL NEURAL NETWORKS
Maosheng Yang, Elvin Isufi, Geert Leus, Delft University of Technology, Netherlands
SS-9.4: SIGNAL PROCESSING ON CELL COMPLEXES
T. Mitchell Roddenberry, Rice University, United States of America; Michael T. Schaub, RWTH Aachen University, Germany; Mustafa Hajij, Santa Clara University, United States of America
SS-9.5: ROBUST SIGNAL PROCESSING OVER SIMPLICIAL COMPLEXES
Stefania Sardellitti, Sergio Barbarossa, Sapienza University of Rome, Italy
SS-9.6: DIGRAPH SIGNAL PROCESSING WITH GENERALIZED BOUNDARY CONDITIONS
Bastian Seifert, Markus Püschel, ETH Zürich, Switzerland
SS-9.7: INDEPENDENT VECTOR ANALYSIS VIA LOG-QUADRATICALLY PENALIZED QUADRATIC MINIMIZATION
Robin Scheibler, LINE Corporation, Japan