Technical Program

GS-L.3: Machine Learning for Signal Processing

Symposium: General Symposium
Session Type: Lecture
Time: Tuesday, November 27, 15:50 - 17:20
Location: Adventure
Session Chair: Jose Apolinario, Instituto Militar de Engenharia
 
15:50 - 16:08
GS-L.3.1: AFFINE LBG FOR CODEBOOK TRAINING OF UNIVARIATE LINEAR REPRESENTATION
         Tiannan Dong; Xi'an Jiaotong University
         Jianji Wang; Xi'an Jiaotong University
         Meng Yang; Xi'an Jiaotong University
         Yi Kai; Xi'an Jiaotong University
         Nanning Zheng; Xi'an Jiaotong University
 
16:08 - 16:26
GS-L.3.2: BAYESIAN QUICKEST CHANGE POINT DETECTION WITH MULTIPLE CANDIDATES OF POST-CHANGE MODELS
         Samrat Nath; University of Arkansas
         Jingxian Wu; University of Arkansas
 
16:26 - 16:44
GS-L.3.3: PHASELESS SUBSPACE TRACKING
         Seyedehsara Nayer; Iowa State University
         Namrata Vaswani; Iowa State University
 
16:44 - 17:02
GS-L.3.4: ON THE BEHAVIOR OF THE EXPECTATION-MAXIMIZATION ALGORITHM FOR MIXTURE MODELS
         Babak Barazandeh; University of Southern California
         Meisam Razaviyayn; University of Southern California
 
17:02 - 17:20
GS-L.3.5: LARGE SCALE RANDOMIZED LEARNING GUIDED BY PHYSICAL LAWS WITH APPLICATIONS IN FULL WAVEFORM INVERSION
         Rui Xie; University of Georgia
         Fangyu Li; University of Georgia
         Zengyan Wang; University of Georgia
         WenZhan Song; University of Georgia