Technical Program

Paper Detail

Paper:BD-L1.2
Session:Signal Processing for Big Data I
Location:Grand Salon 4
Session Time:Monday, March 6, 16:00 - 18:00
Presentation Time:Monday, March 6, 16:20 - 16:40
Presentation: Lecture
Topic: Signal Processing for Big Data: Computational models and representations for big data
Paper Title: Scalable and Flexible MAX-VAR Generalized Canonical Correlation Analysis via Alternating Optimization
Authors: Xiao Fu, Kejun Huang, University of Minnesota, United States; Mingyi Hong, Iowa State University, United States; Nicholas Sidiropoulos, University of Minnesota, United States; Anthony Man-Cho So, The Chinese University of Hong Kong, Hong Kong SAR of China