Technical Program

CSDL-P2: Compressed Sensing, Deep Learning Poster II

Symposium: Symposium on Compressed Sensing, Deep Learning
Session Type: Poster
Time: Friday, December 9, 14:00 - 15:40
Location: Salon DEFG
Session Chair: Behtash Babadi, University of Maryland, College Park
 
14:00 - 15:40
CSDL-P2.1: LOW-LATENCY SOUND SOURCE SEPARATION USING DEEP NEURAL NETWORKS
         Gaurav Naithani; Tampere University of Technology
         Giambattista Parascandolo; Tampere University of Technology
         Tom Barker; Tampere University of Technology
         Niels Henrik Pontoppidan; Oticon A/S
         Tuomas Virtanen; Tampere University of Technology
 
14:00 - 15:40
CSDL-P2.2: END-TO-END RADIO TRAFFIC SEQUENCE RECOGNITION WITH RECURRENT NEURAL NETWORKS
         Timothy J. O'Shea; Virginia Tech
         Seth Hitefield; Virginia Tech
         Johnathan Corgan; Corgan Labs
 
14:00 - 15:40
CSDL-P2.3: ATOMIC NORM MINIMIZATION BASED RANGE-DIRECTION INDICATION FOR FREQUENCY DIVERSE ARRAY: A MATRIX COMPLETION PERSPECTIVE
         Lei Wang; Tsinghua University
         Yimin Liu; Tsinghua University
 
14:00 - 15:40
CSDL-P2.4: SPARSE RECOVERY IN WIGNER-D BASIS EXPANSION
         Arya Bangun; RWTH Aachen University
         Arash Behboodi; RWTH Aachen University
         Rudolf Mathar; RWTH Aachen University
 
14:00 - 15:40
CSDL-P2.5: DICTIONARY LEARNING FOR SPARSE REPRESENTATION USING WEIGHTED L1-NORM
         Haoli Zhao; School of Computer Science and Engineering
         Shuxue Ding; School of Computer Science and Engineering
         Yujie Li; School of Computer Science and Engineering
         Zhenni Li; School of Computer Science and Engineering
         Xiang Li; School of Computer Science and Engineering
         Benying Tan; School of Computer Science and Engineering
 

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