Technical Program

SSP-O.1: Sparse Signal Processing and Deep Learning I

Symposium: Symposium on Sparse Signal Processing and Deep Learning
Session Type: Oral
Time: Tuesday, November 14, 11:00 - 12:30
Location: Mont-Royal
Session Chair: XING WANG, AltumView Systems Inc.
 
11:00 - 11:18
SSP-O.1.1: DESIGN OF BINARY LDPC CODES FOR SLEPIAN-WOLF CODING OF CORRELATED INFORMATION SOURCES
         Saeed Eleruja; Plymouth University
         Umar-Faruk Abdu-Aguye; Plymouth University
         Marcel Ambroze; Plymouth University
         Martin Tomlinson; Plymouth University
         Mohammed Zaki; Plymouth University
 
11:18 - 11:36
SSP-O.1.2: DEEP LEARNING SPARSE TERNARY PROJECTIONS FOR COMPRESSED SENSING OF IMAGES
         Duc Minh Nguyen; Vrije Universiteit Brussel
         Evaggelia Tsiligianni; Vrije Universiteit Brussel
         Nikos Deligiannis; Vrije Universiteit Brussel
 
11:36 - 11:54
SSP-O.1.3: FIELD OF EXPERTS: OPTIMAL STRUCTURED BAYESIAN COMPRESSED SENSING
         Xinjie Lan; University of Delaware
         Kenneth Barner; University of Delaware
 
11:54 - 12:12
SSP-O.1.4: LAPPED CONVOLUTIONAL NEURAL NETWORKS FOR EMBEDDED SYSTEMS
         Xing Wang; AltumView Systems Inc.
         Him Wai Ng; AltumView Systems Inc.
         Jie Liang; Simon Fraser University
 
12:12 - 12:30
SSP-O.1.5: AIRCRAFT FUSELAGE DEFECT DETECTION USING DEEP NEURAL NETWORKS
         Touba Malekzadeh; Singapore University of Technology and Design
         Milad Abdollahzadeh; Singapore University of Technology and Design
         Hossein Nejati; Singapore University of Technology and Design
         Ngai-Man Cheung; Singapore University of Technology and Design