Technical Program

Paper Detail

Paper:MMSP-P2.2
Session:Feature Learning and Analysis
Location:Churchill: Poster Area I
Session Time:Thursday, March 9, 08:30 - 10:30
Presentation Time:Thursday, March 9, 08:30 - 10:30
Presentation: Poster
Topic: Multimedia Signal Processing: Multimodal signal processing
Paper Title: MULTI-VIEW REPRESENTATION LEARNING VIA GCCA FOR MULTIMODAL ANALYSIS OF PARKINSON'S DISEASE
Authors: Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, University of Antioquia, Colombia; Raman Arora, Johns Hopkins University, United States; Elmar Nöth, Friedrich Alexander Universitat Erlangen-Nuremberg, Germany; Najim Dehak, Johns Hopkins University, United States; Heidi Christensen, University of Sheffield, United Kingdom; Frank Rudzicz, University of Toronto, Canada; Tobias Bocklet, Intel Corporation, Germany; Milos Cernak, Idiap research institute, Switzerland; Hamidreza Chinaei, University of Toronto, Canada; Julius Hannick, Friedrich Alexander Universitat Erlangen-Nuremberg, Germany; Phani Sankar Nidadavolu, Johns Hopkins University, United States; Maria Yancheva, University of Toronto, Canada; Alyssa Vann, Stanford University, United States; Nikolai Vogler, University of California, Irvine, United States