Technical Program
SS-L5: Big Data and Signal Processing: A Computational Topology Approach |
Session Type: Lecture |
Time: Thursday, March 24, 08:30 - 10:30 |
Location: Room 3B |
Session Chairs: Hamid Krim, North Caroline State University and Michael Robinson, American University |
SS-L5.1: INTRODUCTION TO THE SPECIAL SESSION ON TOPOLOGICAL DATA ANALYSIS, ICASSP 2016 |
Harish Chintakunta; University of Illinois at Urbana-Champaign |
Michael Robinson; American University |
Hamid Krim; North Carolina State University |
SS-L5.2: OVERLAPPING CLUSTERING OF NETWORK DATA USING CUT METRICS |
Fernando Gama; University of Pennsylvania |
Santiago Segarra; University of Pennsylvania |
Alejandro Ribeiro; University of Pennsylvania |
SS-L5.3: DISTANCES BETWEEN DIRECTED NETWORKS AND APPLICATIONS |
Samir Chowdhury; The Ohio State University |
Facundo Memoli; The Ohio State University |
SS-L5.4: AN INTRODUCTION TO HYPERGRAPH SIGNAL PROCESSING |
Sergio Barbarossa; Sapienza University of Rome |
Mikhail Tsitsvero; Sapienza University of Rome |
SS-L5.5: EXPLORING PERSISTENT LOCAL HOMOLOGY IN TOPOLOGICAL DATA ANALYSIS |
Brittany Fasy; Montana State University |
Bei Wang; University of Utah |
SS-L5.6: PERSISTENT HOMOLOGY OF TOROIDAL SLIDING WINDOW EMBEDDINGS |
Jose Perea; Michigan State University |