Technical Program

SSP-P.2: Sparse Signal Processing and Deep Learning Posters II

Symposium: Symposium on Sparse Signal Processing and Deep Learning
Session Type: Poster
Time: Thursday, November 16, 16:00 - 17:30
Location: Fontaine A
Session Chair: Stacy Patterson, Rensselaer Polytechnic Institute
 
Poster Board: 1
SSP-P.2.1: GLOBAL OPTIMALITY IN LOW-RANK MATRIX OPTIMIZATION
         Zhihui Zhu; Colorado School of Mines
         Qiuwei Li; Colorado School of Mines
         Gongguo Tang; Colorado School of Mines
         Michael Wakin; Colorado School of Mines
 
Poster Board: 2
SSP-P.2.2: PT-NET: IMPROVE OBJECT AND FACE DETECTION VIA A PRE-TRAINED CNN MODEL
         Yingxin Lou; Beijing University of Posts and Telecommunications
         Guangtao Fu; Academy of Broadcasting Science
         Zhuqing Jiang; Beijing University of Posts and Telecommunications
         Aidong Men; Beijing University of Posts and Telecommunications
         Yun Zhou; Academy of Broadcasting Science
 
Poster Board: 4
SSP-P.2.4: ADAPTIVE BASIS SELECTION FOR COMPRESSED SENSING IN ROBOTIC TACTILE SKINS
         Brayden Hollis; Rensselear Polytechnic Institute
         Stacy Patterson; Rensselear Polytechnic Institute
         Jeff Trinkle; Rensselear Polytechnic Institute
 
Poster Board: 5
SSP-P.2.5: PRECISE PERFORMANCE ANALYSIS OF THE LASSO UNDER MATRIX UNCERTAINTIES
         Ayed M. Alrashdi; King Abdullah University of Science and Technology
         Ismail Ben Atitallah; King Abdullah University of Science and Technology
         Tareq Y. Al-Naffouri; King Abdullah University of Science and Technology
         Mohamed-Slim Alouini; King Abdullah University of Science and Technology
 
Poster Board: 6
SSP-P.2.6: NEAR-OPTIMAL PARAMETER SELECTION METHODS FOR L2 REGULARIZATION
         Tarig Ballal; King Abdullah University of Science and Technology
         Mohamed Suliman; King Abdullah University of Science and Technology
         Tareq Y. Al-Naffouri; King Abdullah University of Science and Technology