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My ICASSP 2019 Schedule

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MLSP-L5: Deep Learning Applications II

Session Type: Lecture
Time: Wednesday, May 15, 16:00 - 18:00
Location: Auditorium 2
Session Chair: Danilo Comminiello, DIET Dept, Sapienza University of Rome
 
  MLSP-L5.1: FORKED RECURRENT NEURAL NETWORK FOR HAND GESTURE CLASSIFICATION USING INERTIAL MEASUREMENT DATA
         Philipp Koch; University of Lübeck
         Nele Brügge; University of Lübeck
         Huy Phan; University of Kent
         Marco Maass; University of Lübeck
         Alfred Mertins; University of Lübeck
 
  MLSP-L5.2: MISSING DATA IN TRAFFIC ESTIMATION: A VARIATIONAL AUTOENCODER IMPUTATION METHOD
         Guillem Boquet; Universitat Autònoma de Barcelona
         Jose Lopez Vicario; Universitat Autònoma de Barcelona
         Antoni Morell; Universitat Autònoma de Barcelona
         Javier Serrano; Universitat Autònoma de Barcelona
 
  MLSP-L5.4: LOW-COST MEASUREMENT OF INDUSTRIAL SHOCK SIGNALS VIA DEEP LEARNING CALIBRATION
         Houpu Yao; Arizona State University
         Jingjing Wen; Northwestern Polytechnical University
         Yi Ren; Arizona State University
         Bin Wu; Arizona State University
         Ze Ji; Cardiff University
 
  MLSP-L5.5: EFFICIENT MULTI-AGENT COOPERATIVE NAVIGATION IN UNKNOWN ENVIRONMENTS WITH INTERLACED DEEP REINFORCEMENT LEARNING
         Yue Jin; Tsinghua University
         Yaodong Zhang; Tsinghua University
         Jian Yuan; Tsinghua University
         Xudong Zhang; Tsinghua University
 
  MLSP-L5.6: DEEP COMPLEX-VALUED NEURAL BEAMFORMERS
         Lukas Pfeifenberger; Graz University of Technology
         Matthias Zöhrer; Graz University of Technology
         Franz Pernkopf; Graz University of Technology