Technical Program

SiG-DML_P3: Neural Network Learning

Session Type: Poster
Time: Thursday, September 1, 14:00 - 15:40
Location: Poster Area 2
Session Chair: Ilija Radovanovic, University of Belgrade
 
SiG-DML_P3.1: UNSUPERVISED LEARNED KALMAN FILTERING
Guy Revach, Timur Locher, Xiaoyong Ni, ETH, Switzerland; Nir Shlezinger, Ben-Gurion University of the Negev, Israel; Ruud van Sloun, Eindhoven University of Technology, Netherlands; Yonina Eldar, Weizmann Institute of Science, Israel
 
SiG-DML_P3.2: TRANSFER LEARNING FOR HUMAN ACTIVITY CLASSIFICATION IN MULTIPLE RADAR SETUPS
Jeremy Fix, Universite de Lorraine, CentraleSupelec, France; Israel HINOSTROZA, Chengfang Ren, Thierry Letertre, Universite Paris-Sclay, CentraleSupelec, France; Giovanni Manfredi, Universite Paris-Saclay, CentraleSupelec, France
 
SiG-DML_P3.3: NEURAL NETWORK BASED ON LOCAL DIMENSIONALITY REDUCTION FOR MATRIX COMPLETION
Ryohei Sasaki, Tokyo University of Technology, Japan; Guo Bin, Katsumi Konishi, Hosei University, Japan
 
SiG-DML_P3.4: NETWORK CALIBRATION BY TEMPERATURE SCALING BASED ON THE PREDICTED CONFIDENCE
Lior Frenkel, Jacob Goldberger, Bar-Ilan University, Israel
 
SiG-DML_P3.5: UNSUPERVISED FEATURE RECOMMENDATION USING REPRESENTATION LEARNING
Anish Datta, Soma Bandyopadhyay, Shruti Sachan, Arpan Pal, Tata Consultancy Services, India
 
SiG-DML_P3.6: DESIGN OF ROBUST COMPLEX-VALUED FEED-FORWARD NEURAL NETWORKS
Ana Neacșu, Jean-Christophe Pesquet, Centrale Supelec, France; Răzvan Ciubotaru, Corneliu Burileanu, University Politehnica of Bucharest, Romania
 
SiG-DML_P3.7: DYSLEXIA DETECTION IN CHILDREN USING EYE TRACKING DATA BASED ON VGG16 NETWORK
Ivan Vajs, University of Belgrade – School of Electrical Engineering and Innovation center, School of Electrical Engineering in Belgrade, Serbia; Vanja Ković, Faculty of Philosophy, University of Belgrade, Serbia; Tamara Papić, University Singidunum, Serbia; Andrej M. Savić, Milica M. Janković, University of Belgrade – School of Electrical Engineering Belgrade, Serbia, Serbia
 
SiG-DML_P3.8: DATA AUGMENTATION WITH MIXTURES OF MAX-ENTROPY TRANSFORMATIONS FOR FILLING-LEVEL CLASSIFICATION
Apostolos Modas, Pascal Frossard, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Andrea Cavallaro, Queen Mary University of London, United Kingdom
 
SiG-DML_P3.9: FAST LEARNING ARCHITECTURE FOR NEURAL NETWORKS
Ming Jun Zhang, Samuel Garcia, Michel Terré, HESAM/CNAM, France