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My ICASSP 2020 Schedule

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TH3.I: Session 3H: Processing of Highly complex, Heterogeneous, High-dimension data

Session Type: Lecture
Time: Thursday, 7 May, 16:30 - 18:30
Location: On-Demand
Session Chairs: Peter Schreier, Universit├Ąt Paderborn and Tulay Adali, University of Maryland, Baltimore County
 
   TH3.I.1: IMAGE FUSION USING JOINT SPARSE REPRESENTATIONS AND COUPLED DICTIONARY LEARNING
         Farshad Ghorbani Veshki; Aalto university
         Nora Ouzir; Aalto university
         Sergiy A. Vorobyov; Aalto University
 
   TH3.I.2: CLUSTERING OF NONNEGATIVE DATA AND AN APPLICATION TO MATRIX COMPLETION
         Christopher Strohmeier; University of California, Los Angeles
         Deanna Needell; University of California, Los Angeles
 
   TH3.I.3: SAMPLING OF SURFACES AND LEARNING FUNCTIONS IN HIGH DIMENSIONS
         Qing Zou; University of Iowa
         Mathews Jacob; University of Iowa
 
   TH3.I.4: STOCK MOVEMENT PREDICTION THAT INTEGRATES HETEROGENEOUS DATA SOURCES USING DILATED CAUSAL CONVOLUTION NETWORKS WITH ATTENTION
         Divyanshu Daiya; LNM Institute of Information Technology
         Min-Sheng Wu; National Tsing Hua University
         Che Lin; National Taiwan University
 
   TH3.I.5: LARGE-SCALE WEAKLY-SUPERVISED CONTENT EMBEDDINGS FOR MUSIC RECOMMENDATION AND TAGGING
         Qingqing Huang; Google
         Aren Jansen; Google
         Li Zhang; Google
         Daniel P. W. Ellis; Google Research
         Rif A. Saurous; Google
         John Anderson; Google
 
   TH3.I.6: SUPERVISED CANONICAL CORRELATION ANALYSIS OF DATA ON SYMMETRIC POSITIVE DEFINITE MANIFOLDS BY RIEMANNIAN DIMENSIONALITY REDUCTION
         Faezeh Fallah; University of Stuttgart
         Bin Yang; University of Stuttgart