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 |