Technical Program

SSP-O.4: Sparse Signal Processing and Deep Learning IV

Symposium: Symposium on Sparse Signal Processing and Deep Learning
Session Type: Oral
Time: Thursday, November 16, 14:00 - 15:30
Location: Verdun
Session Chair: Meng Wang, Rensselaer Polytechnic Institute (RPI)
 
14:00 - 14:18
SSP-O.4.1: A FEATURE EMBEDDING STRATEGY FOR HIGH-LEVEL CNN REPRESENTATIONS FROM MULTIPLE CONVNETS
         Thangarajah Akilan; University of Windsor
         Jonathan Wu; University of Windsor
         Wei Jiang; Zhejiang University
 
14:18 - 14:36
SSP-O.4.2: A NONPARAMETRIC BAYESIAN METHOD OF STRUCTURAL SALIENCY DICTIONARY LEARNING FOR IMAGE COMPRESSION
         Juan Wang; Tsinghua University
         Xiaoming Tao; Tsinghua University
         Chunxiao Jiang; Tsinghua University
         Shaoyang Li; Tsinghua University
         Jianhua Lu; Tsinghua University
 
14:36 - 14:54
SSP-O.4.3: ESTIMATION OF FREQUENCY UNSYNCHRONIZED MILLIMETER-WAVE CHANNELS
         Milutin Pajovic; Mitsubishi Electric Research Laboratories
         Pu Wang; Mitsubishi Electric Research Laboratories
         Toshiaki Koike-Akino; Mitsubishi Electric Research Laboratories
         Philip Orlik; Mitsubishi Electric Research Laboratories
 
14:54 - 15:12
SSP-O.4.4: TEXT EXTRACTION FROM TEXTURE IMAGES USING MASKED SIGNAL DECOMPOSITION
         Shervin Minaee; New York University
         Yao Wang; New York University
 
15:12 - 15:30
SSP-O.4.5: LOW-RANK MATRIX RECOVERY OF DYNAMIC EVENTS
         Salman Asif; University of California, Riverside