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76 Sun, 7/29/2012, 4:00 PM - 5:50 PM CC-Room 25A
Functional and Spatio-Temporal Data Analysis — Contributed Papers
Section on Statistical Learning and Data Mining
Chair(s): Zsolt Talata, University of Kansas
4:05 PM Functional Data Analysis of Blood Pressure Across and During Dialysis Sessions Benjamin Goldstein, Stanford University ; Trevor Hastie, Stanford University ; Wolfgang Winkelmayer, Stanford University
4:20 PM Movelets: A Dictionary of Movement Jiawei Bai, The Johns Hopkins University ; Jeff Goldsmith, The Johns Hopkins University ; Brian Scott Caffo, The Johns Hopkins University ; Thomas A Glass, The Johns Hopkins University ; Ciprian Crainiceanu, The Johns Hopkins University
4:35 PM Extension of Geographically Weighted Regression for Big Spatial-Temporal Data Shu-Ngai Yeung, AT&T Labs ; S. Tom Au, AT&T Labs ; Guangqin Ma, AT&T Labs
4:50 PM ETWR: An EEG/MEG Source Reconstruction Method Using Spatio-Temporal Two-Way Regularization Tian Siva Tian, University of Houston ; Jianhua Huang, Texas A&M University ; Haipeng Shen, The University of North Carolina at Chapel Hill ; Zhimin Li, Medical College of Wisconsin
5:05 PM Clustering the Sptatio-Temporal Functional Data with Multiscale Adaptive Smoothing Method and EM-Based Algorithm Jiaping Wang, The University of North Carolina at Chapel Hill ; Hongtu Zhu, The University of North Carolina at Chapel Hill
5:20 PM Floor Discussion



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