Technical Program

Paper Detail

Note: All times are in Pacific Daylight Time (UTC -7)
Paper: D-17.5
Paper Title:  Efficient Multi-View Learning Based on the Information Bottleneck Paradigm
Authors:  Teng-Hui Huang, Purdue University, United States; Aly El Gamal, InterDigital, United States; Hesham El Gamal, The University of Sydney, Australia
Session: Fast and Scalable Algorithms in Machine Learning
Location: Virtual D
Presentation Time: Wednesday, November 2, 11:00 - 12:00
Virtual Presentation:   Attend on Virtual Platform
Presentation:  Virtual
Topic:  Adaptive Systems, Machine Learning, Data Analytics: Fast and Scalable Algorithms