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
Session:
WA4a: Advances in Multiview Processing and Learning Lecture
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Nautilus
Presentation Time:
Wed, 30 Oct, 08:15 - 08:40 PT (UTC -7)
Session Co-Chairs:
Panos Traganitis, Michigan State University and Charilaos I. Kanatsoulis, Stanford University and Abdullah Karaaslanli, Michigan State University
Presentation
Discussion
Resources
No resources available.
Session WA4a
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
WA4a.2: Kernel-driven Self-Supervision for Multi-View Learning over Graphs
Alireza Sadeghi, Konstantinos Polyzos, Georgios B. Giannakis, University of Minnesota, United States
WA4a.3: Multiview Analog FM Radio Underlay
Nima Razavi, Spyridon Peppas, Paris Karakasis, Nicholas Sidiropoulos, University of Virginia, United States
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
Contacts