Technical Program

CSDL-P1: Compressed Sensing, Deep Learning Poster I

Symposium: Symposium on Compressed Sensing, Deep Learning
Session Type: Poster
Time: Thursday, December 8, 14:00 - 15:40
Location: Salon DEFG
Session Chair: George Atia, University of Central Florida
 
14:00 - 15:40
CSDL-P1.1: MINIMUM-VOLUME-REGULARIZED WEIGHTED SYMMETRIC NONNEGATIVE MATRIX FACTORIZATION FOR CLUSTERING
         Tianxiang Gao; Iowa State University
         Sigurdur Olafsson; Iowa State University
         Songtao Lu; Iowa State University
 
14:00 - 15:40
CSDL-P1.2: BEST BASIS SELECTION USING SPARSITY DRIVEN MULTI-FAMILY WAVELET TRANSFORM
         Romain Cosentino; Ecole Normale Superieure & RICE University
         Randall Balestriero; Ecole Normale Superieure & RICE University
         Behnaam Aazhang; Rice University
 
14:00 - 15:40
CSDL-P1.3: DEFENDING ACTIVE LEARNING AGAINST ADVERSARIAL INPUTS IN AUTOMATED DOCUMENT CLASSIFICATION
         Lei Pi; University of Memphis
         Zhuo Lu; University of South Florida
         Yalin Sagduyu; Intelligent Automation Inc.
         Su Chen; University of Memphis
 
14:00 - 15:40
CSDL-P1.4: SPARSE RECONSTRUCTION FOR FLUORESCENCE LIFETIME IMAGING MICROSCOPY WITH POISSON NOISE
         Lasith Adhikari; University of California, Merced
         Arnold Kim; University of California, Merced
         Roummel Marcia; University of California, Merced
 
14:00 - 15:40
CSDL-P1.5: D-OAMP: A DENOISING-BASED SIGNAL RECOVERY ALGORITHM FOR COMPRESSED SENSING
         Zhipeng Xue; ShanghaiTech University
         Junjie Ma; City University of Hong Kong
         Xiaojun Yuan; ShanghaiTech University
 

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