Graph signal processing |
| Session Type: Lecture |
| Time: Tuesday, June 4, 10:00 - 12:00 |
| Location: Lecture Room 1 |
| Session Chair: Gonzalo Mateos, University of Rochester |
| Paper #1: ONLINE TOPOLOGY INFERENCE FROM STREAMING STATIONARY GRAPH SIGNALS |
| Rasoul Shafipour; University of Rochester |
| Abolfazl Hashemi; University of Texas at Austin |
| Gonzalo Mateos; University of Rochester |
| Haris Vikalo; University of Texas at Austin |
| Paper #2: VERTEX-FREQUENCY CLUSTERING |
| Daniel Burkhardt; Yale University |
| Jay Stanley; Yale University |
| Guy Wolf; University of Montreal |
| Smita Krishnaswamy; Yale University |
| Paper #3: SAMPLING OF GRAPH SIGNALS WITH BLUE NOISE DITHERING |
| Alejandro Parada-Mayorga; University of Delaware |
| Daniel Lau; University of Kentucky |
| Jhony Giraldo; University of Delaware |
| Gonzalo Arce; University of Delaware |
| Paper #4: DISTANCE-PENALIZED ACTIVE LEARNING VIA MARKOV DECISION PROCESSES |
| Dingyu Wang; Portland State University |
| John Lipor; Portland State University |
| Gautam Dasarathy; Arizona State University |
| Paper #5: INTRODUCING GRAPH SMOOTHNESS LOSS FOR TRAINING DEEP LEARNING ARCHITECTURES |
| Myriam Bontonou; Institut Mines-Telecom |
| Carlos Lassance; Institut Mines-Telecom |
| Ghouti Boukli Hacene; Institut Mines-Telecom |
| Vincent Gripon; Institut Mines-Telecom |
| Jian Tang; HEC Montreal |
| Antonio Ortega; University of Southern California |
| Paper #6: OPTIMAL SAMPLING SETS IN COGRAPHS |
| Dominique Guillot; University of Delaware |
| Alejandro Parada-Mayorga; University of Delaware |
| Sebastian Cioaba; University of Delaware |
| Gonzalo Arce; University of Delaware |