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My ICASSP 2019 Schedule

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SS-L22: Neural Networks for Signal Processing Applications

Session Type: Lecture
Time: Friday, May 17, 16:00 - 18:00
Location: Auditorium 2
Session Chairs: Alexandros Iosifidis, Aarhus, Anastasios Tefas, Aristotle University of Thessaloniki and Dimitrios Milioris, Nokia Bell Labs
 
  SS-L22.1: EFFICIENT INDOOR LOCALIZATION VIA REINFORCEMENT LEARNING
         Dimitris Milioris; Nokia Bell Labs & MIT
 
  SS-L22.2: LEARNING TO RANK: A PROGRESSIVE NEURAL NETWORK LEARNING APPROACH
         Dat Thanh Tran; Tampere University of Technology
         Alexandros Iosifidis; Aarhus University
 
  SS-L22.3: 1-D CONVOLUTIONAL NEURAL NETWORKS FOR SIGNAL PROCESSING APPLICATIONS
         Serkan Kiranyaz; Qatar University
         Turker Ince; Electrical & Electronics Engineering Department, Izmir University of Economics
         Osama Abdeljaber; Qatar University
         Onur Avci; Qatar University
         Moncef Gabbouj; Tampere University of Technology
 
  SS-L22.4: QUASI BLACK HOLE EFFECT OF GRADIENT DESCENT IN LARGE DIMENSION: CONSEQUENCE ON NEURAL NETWORK LEARNING
         Anne Bouillard; Nokia Bell Labs
         Philippe Jacquet; Nokia Bell Labs
 
  SS-L22.5: LEVERAGING IMAGE-TO-IMAGE TRANSLATION GENERATIVE ADVERSARIAL NETWORKS FOR FACE AGING
         Evangelia Pantraki; Aristotle University of Thessaloniki
         Constantine Kotropoulos; Aristotle University of Thessaloniki
         Andreas Lanitis; Cyprus University of Technology
 
  SS-L22.6: DEEP CONVOLUTIONAL FEATURE HISTOGRAMS FOR VISUAL OBJECT TRACKING
         Paraskevi Nousi; Computer Science Department, Aristotle University of Thessaloniki
         Anastasios Tefas; Computer Science Department, Aristotle University of Thessaloniki
         Ioannis Pitas; Computer Science Department, Aristotle University of Thessaloniki