Technical Program

TA3b: Graph Signal Processing (Invited)

Session Type: Oral
Time: Tuesday, October 30, 10:15 - 11:55
Location: Triton
Session Chair: Gonzalo Mateos, University of Rochester
 
TA3b-1: ON THE LIMITS OF FINITE-TIME DISTRIBUTED CONSENSUS THROUGH SUCCESSIVE LOCAL LINEAR OPERATIONS
         Mario Coutino; TU Delft
         Elvin Isufi; TU Delft
         Takanori Maehara; RIKEN AIP
         Geert Leus; TU Delft
 
TA3b-2: GRAPH-BASED SEMI SUPERVISED LEARNING: A SAMPLING PERSPECTIVE
         Rohan Varma; Carnegie Mellon University
         Jelena Kovačević; Carnegie Mellon University
 
TA3b-3: ASYNCHRONOUS NONLINEAR UPDATES ON GRAPHS
         Oguzhan Teke; California Institute of Technology
         P. P. Vaidyanathan; California Institute of Technology
 
TA3b-4: GRAPH HEAT MIXTURE MODEL LEARNING
         Hermina Petric Maretic; Ecole Polytechnique Fédérale de Lausanne
         Mireille El Gheche; Ecole Polytechnique Fédérale de Lausanne
         Pascal Frossard; Ecole Polytechnique Fédérale de Lausanne