WA4a: Advances in Multiview Processing and Learning
Wed, 30 Oct, 08:15 - 09:55 PT (UTC -8)
Location: Nautilus
Session Type: Lecture
Session Co-Chairs: Panos Traganitis, Michigan State University and Charilaos I. Kanatsoulis, Stanford University and Abdullah Karaaslanli, Michigan State University
Track: Adaptive Systems, Machine Learning, and Data Analytics
Wed, 30 Oct, 08:15 - 08:40 PT (UTC -8)

WA4a.1: Online Canonical Correlation Analysis via Rayleigh-Ritz Projections
Vassilis Kalantzis, IBM Research, United States; Panagiotis A. Traganitis, Michigan State University, United States; Charilaos I. Kanatsoulis, Stanford University, United States
Wed, 30 Oct, 08:40 - 09:05 PT (UTC -8)

WA4a.2: Kernel-driven Self-Supervision for Multi-View Learning over Graphs
Alireza Sadeghi, Konstantinos Polyzos, Georgios B. Giannakis, University of Minnesota, United States
Wed, 30 Oct, 09:05 - 09:30 PT (UTC -8)

WA4a.3: Multiview Analog FM Radio Underlay
Nima Razavi, Spyridon Peppas, Paris Karakasis, Nicholas Sidiropoulos, University of Virginia, United States
Wed, 30 Oct, 09:30 - 09:55 PT (UTC -8)

WA4a.4: Project or Factorize? A case study of Multiview CCA and PARAFAC2 tensor factorization
Jia Chen, Evangelos Papalexakis, University of California Riverside, United States