Technical Program
BD-L1: Graph Signal Processing and Learning |
Session Type: Lecture |
Time: Tuesday, March 22, 16:00 - 18:00 |
Location: Room 3E |
Session Chair: Georgios Giannakis, University of Minnesota |
BD-L1.1: SIGNAL PROCESSING ON GRAPHS: PERFORMANCE OF GRAPH STRUCTURE ESTIMATION |
Jonathan Mei; Carnegie Mellon University |
José M. F. Moura; Carnegie Mellon University |
BD-L1.2: GRAPH SIGNAL RECOVERY FROM INCOMPLETE AND NOISY INFORMATION USING APPROXIMATE MESSAGE PASSING |
Gita Babazadeh Eslamlou; Vienna University of Technology |
Alexander Jung; Aalto University |
Norbert Görtz; Vienna University of Technology |
Mehdi Fereydooni; Amirkabir University of Technology |
BD-L1.3: ACTIVE LEARNING ON WEIGHTED GRAPHS USING ADAPTIVE AND NON-ADAPTIVE APPROACHES |
Eyal En Gad; University of Southern California |
Akshay Gadde; University of Southern California |
A. Salman Avestimehr; University of Southern California |
Antonio Ortega; University of Southern California |
BD-L1.4: OUTLYING SEQUENCE DETECTION IN LARGE DATASETS: COMPARISON OF UNIVERSAL HYPOTHESIS TESTING AND CLUSTERING |
Yun Li; Walmart Labs |
Venugopal V. Veeravalli; University of Illinois at Urbana-Champaign |
BD-L1.5: QUICKEST CONVERGENCE OF ONLINE ALGORITHMS VIA DATA SELECTION |
Daniel Romero; University of Minnesota |
Dimitris Berberidis; University of Minnesota |
Georgios B. Giannakis; University of Minnesota |
BD-L1.6: SKETCHING FOR LARGE-SCALE LEARNING OF MIXTURE MODELS |
Nicolas Keriven; Inria |
Anthony Bourrier; GIPSA-Lab |
Rémi Gribonval; Inria |
Patrick Pérez; Technicolor |