Technical Program

Note: All times are in Pacific Daylight Time (UTC -7)

D-9: Compressive Sensing

Session Type: Virtual
Time: Tuesday, November 1, 09:30 - 10:30
Location: Virtual J
Virtual Session: Attend on Virtual Platform
 
D-9.1: Sparse Bayesian Learning with Stein’s Unbiased Risk Estimator based Hyperparameter Optimization
         Dirk Slock; EURECOM
 
D-9.2: Structured Model Selection for Recovery of Sparse Representations in Nested Periodic Dictionaries
         Pouria Saidi; Arizona State University
         George Atia; University of Central Florida
 
D-9.3: Noisy Group Testing with Side Information
         Esmaeil Karimi; Texas A&M University
         Anoosheh Heidarzadeh; Texas A&M University
         Krishna Narayanan; Texas A&M University
         Alex Sprintson; Texas A&M University
 
D-9.4: Convolutional Simultaneous Sparse Approximation with Applications to RGB-NIR Image Fusion
         Farshad Ghorbani Veshki; Aalto university
         Sergiy Vorobyov; Aalto university