Technical Program

GS-L.7: Compressive Sensing and Sparsity Theory

Symposium: General Symposium
Session Type: Lecture
Time: Thursday, November 29, 15:50 - 17:20
Location: Adventure
 
15:50 - 16:08
GS-L.7.1: SKETCHING DISCRETE VALUED SPARSE MATRICES
         Lakshmi Narasimhan Theagarajan; Indian Institute of Technology
 
16:08 - 16:26
GS-L.7.2: JOINT SPARSE RECOVERY: DOES DIVERSIFYING SENSING MATRICES HELP?
         Sharmin Kibria; Oregon State University
         Jinsub Kim; Oregon State University
 
16:26 - 16:44
GS-L.7.3: POISSON LOW-RANK MATRIX RECOVERY USING THE ANSCOMBE TRANSFORM
         Pakshal Bohra; IIT Bombay
         Ajit Rajwade; IIT Bombay
 
16:44 - 17:02
GS-L.7.4: A NONCONVEX ALGORITHM FOR SIMULTANEOUSLY SPARSE AND LOW-RANK MATRIX RECONSTRUCTION
         Wei Chen; Beijing Jiaotong University
 
17:02 - 17:20
GS-L.7.5: PERFORMANCE BOUNDS FOR TRACTABLE POISSON DENOISERS WITH PRINCIPLED PARAMETER TUNING
         Chinmay Talegaonkar; Indian Institute of Technology Bombay
         Ajit Rajwade; Indian Institute of Technology Bombay