TU2.PA2: P1_SPMUS_Graph_Signal_Processing_and_Learning
Tue, 27 Aug, 14:30 - 16:10 France Time (UTC +1)
Location: Poster Area 2
Session Type: Poster
Session Chair: Benjamin Girault, Inria
Track: SPMuS - Signal Processing for Multisensor Systems

TU2.PA2.1: Benefits of hypergraphs for density-based clustering
Louis Hauseux, Konstantin Avrachenkov, Josiane Zerubia, Inria, France

TU2.PA2.2: USING GRAPH PRIOR TO LEARN NETWORK GRANGER CAUSALITY
Lucas Zoroddu, ENS Paris-Saclay, France; Pierre Humbert, Université Paris-Saclay, France; Laurent Oudre, ENS Paris-Saclay, France

TU2.PA2.3: AN EFFICIENT ALGORITHM FOR LEARNING LOCALLY STATIONARY GRAPH PROCESSES
Abdullah Canbolat, Simula Metropolitan Center for Digital Engineering, Norway; Elif Vural, Middle East Technical University, Turkey

TU2.PA2.4: TOPOLOGY-INDEPENDENT GEVD-BASED DISTRIBUTED ADAPTIVE NODE-SPECIFIC SIGNAL ESTIMATION IN AD-HOC WIRELESS ACOUSTIC SENSOR NETWORKS
Paul Didier, Toon van Waterschoot, Marc Moonen, KU Leuven, Belgium

TU2.PA2.5: INTERPRETABLE GRAPH SIGNAL DENOISING USING REGULARIZATION BY DENOISING
Hayate KOJIMA, Tokyo University of Agriculture and Technology, Japan; Hiroshi Higashi, Yuichi Tanaka, Osaka University, Japan

TU2.PA2.6: SENSOR PLACEMENT PROBLEM ON NETWORKS FOR SENSORS WITH MULTIPLE SPECIFICATIONS
Junya Hara, Osaka University, Japan; Shunsuke Ono, Tokyo Institute of Technology, Japan; Hiroshi Higashi, Yuichi Tanaka, Osaka University, Japan

TU2.PA2.7: SIMPLICIAL COMPLEX LEARNING FROM EDGE FLOWS VIA SPARSE CLIQUE SAMPLING
Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri, Indian Institute of Science, Bangalore, India

TU2.PA2.8: A MULTISCALE ANOMALY DETECTION FRAMEWORK FOR AIS TRAJECTORIES VIA HEAT GRAPH LAPLACIAN DIFFUSION
Kareth León-López, University of Toulouse, France; Serge Fabre, TéSA Laboratory, France; Fabio Manzoni, Laurent Mirambell, HENSOLDT NEXEYA FRANCE, France; Jean-Yves Tourneret, University of Toulouse, France