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Paper Detail

Paper:MLSP-P4.6
Session:Matrix Factorization, Deep Learning and Source Separation
Location:Poster Area E
Session Time:Wednesday, March 23, 16:00 - 18:00
Presentation Time:Wednesday, March 23, 16:00 - 18:00
Presentation: Poster
Topic: Machine Learning for Signal Processing: Tensor and Structured Matrix Methods
Paper Title: ROBUST VOLUME MINIMIZATION-BASED MATRIX FACTORIZATION VIA ALTERNATING OPTIMIZATION
Authors: Xiao Fu, University of Minnesota, United States; Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong SAR of China; Kejun Huang, Nicholas Sidiropoulos, University of Minnesota, United States

ICASSP 2016 Patrons