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My ICASSP 2019 Schedule

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MLSP-P13: Deep Learning IV

Session Type: Poster
Time: Thursday, May 16, 13:00 - 15:00
Location: Poster Area G, East Landing, First Floor
Session Chair: Jen-Tzung Chien, National Chiao Tung University
 
  MLSP-P13.1: WAVEGLOW: A FLOW-BASED GENERATIVE NETWORK FOR SPEECH SYNTHESIS
         Ryan Prenger; NVIDIA
         Rafael Valle; NVIDIA
         Bryan Catanzaro; NVIDIA
 
  MLSP-P13.2: RESIDUAL INTEGRATION NEURAL NETWORK
         Said Ouala; IMT-Atlantique
         Ananda Pascual; IMEDEA
         Ronan Fablet; IMT-Atlantique
 
  MLSP-P13.3: REDUCING THE SEARCH SPACE FOR HYPERPARAMETER OPTIMIZATION USING GROUP SPARSITY
         Minsu Cho; Iowa State University
         Chinmay Hegde; Iowa State University
 
  MLSP-P13.4: A LEARNING-BASED FRAMEWORK FOR LINE-SPECTRA SUPER-RESOLUTION
         Gautier Izacard; Ecole Polytechnique
         Brett Bernstein; Courant Institute of Mathematical Sciences, NYU
         Carlos Fernandez-Granda; Courant Institute of Mathematical Sciences and Center for Data Science, NYU
 
  MLSP-P13.5: NETWORK ADAPTATION STRATEGIES FOR LEARNING NEW CLASSES WITHOUT FORGETTING THE ORIGINAL ONES
         Hagai Taitelbaum; Bar-Ilan University
         Gal Chechik; Bar-Ilan University
         Jacob Goldberger; Bar-Ilan University
 
  MLSP-P13.6: OBJECT DETECTION IN CURVED SPACE FOR 360-DEGREE CAMERA
         Kuan-Hsun Wang; National Tsing Hua University
         Shang-Hong Lai; National Tsing Hua University
 
  MLSP-P13.7: ADAFLOW: DOMAIN-ADAPTIVE DENSITY ESTIMATOR WITH APPLICATION TO ANOMALY DETECTION AND UNPAIRED CROSS-DOMAIN TRANSLATION
         Masataka Yamaguchi; Nippon Telegraph and Telephone Corporation
         Yuma Koizumi; Nippon Telegraph and Telephone Corporation
         Noboru Harada; Nippon Telegraph and Telephone Corporation
 
  MLSP-P13.8: CENTROID-BASED DEEP METRIC LEARNING FOR SPEAKER RECOGNITION
         Jixuan Wang; University of Toronto
         Kuan-Chieh Wang; University of Toronto
         Marc Law; University of Toronto
         Frank Rudzicz; University of Toronto
         Michael Brudno; University of Toronto
 
  MLSP-P13.9: JSR-NET: A DEEP NETWORK FOR JOINT SPATIAL-RADON DOMAIN CT RECONSTRUCTION FROM INCOMPLETE DATA
         Haimiao Zhang; Peking University
         Bin Dong; Peking University
         Baodong Liu; Chinese Academy of Sciences
 
  MLSP-P13.10: MATERIAL IDENTIFICATION USING RF SENSORS AND CONVOLUTIONAL NEURAL NETWORKS
         Gianluca Agresti; University of Padova
         Simone Milani; University of Padova
 
  MLSP-P13.11: IMAGE CORRECTION IN EMISSION TOMOGRAPHY USING DEEP CONVOLUTION NEURAL NETWORK
         Tomohiro Suzuki; University of Tsukuba
         Hiroyuki Kudo; University of Tsukuba
 
  MLSP-P13.12: EXPLORING COMPLEX TIME-SERIES REPRESENTATIONS FOR RIEMANNIAN MACHINE LEARNING OF RADAR DATA
         Daniel Brooks; Sorbonne Université
         Olivier Schwander; Sorbonne Université
         Frédéric Barbaresco; Thales Air Systems
         Jean-Yves Schneider; Thales Air Systems
         Matthieu Cord; Sorbonne Université