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Paper Detail

Paper:MLSP-P6.8
Session:Applications of Machine Learning in Signal Processing II
Location:Poster Area E
Session Time:Friday, March 25, 08:30 - 10:30
Presentation Time:Friday, March 25, 08:30 - 10:30
Presentation: Poster
Topic: Machine Learning for Signal Processing: Tensor and Structured Matrix Methods
Paper Title: STRUCTURALLY-CONSTRAINED GRADIENT DESCENT FOR MATRIX FACTORIZATION IN HAPLOTYPE ASSEMBLY PROBLEMS
Authors: Changxiao Cai, Tsinghua University, China; Sujay Sanghavi, Haris Vikalo, The University of Texas at Austin, United States

ICASSP 2016 Patrons