Now showing items 1-4 of 4

    • Bandwidth selection for kernel density estimation using fourier domain constraints 

      Suhre, A.; Arıkan, Orhan; Çetin, A. Enis (Institution of Engineering and Technology, 2016)
      Kernel density estimation (KDE) is widely-used for non-parametric estimation of an underlying density from data. The performance of KDE is mainly dependent on the bandwidth parameter of the kernel. This study presents an ...
    • Creating crowd variation with the OCEAN personality model 

      Durupınar, Funda; Allbeck, J.; Pelechano, N.; Badler, N. (IFAAMAS, 2008-05)
      Most current crowd simulators animate homogeneous crowds, but include underlying parameters that can be tuned to create variations within the crowd. These parameters, however, are specific to the crowd models and may be ...
    • Data imputation through the identification of local anomalies 

      Ozkan, H.; Pelvan, O. S.; Kozat, S. S. (Institute of Electrical and Electronics Engineers Inc., 2015)
      We introduce a comprehensive and statistical framework in a model free setting for a complete treatment of localized data corruptions due to severe noise sources, e.g., an occluder in the case of a visual recording. Within ...
    • Tuned range-separated hybrids in density functional theory 

      Baer, R.; Livshits, E.; Salzner, U. (2010)
      We review density functional theory (DFT) within the Kohn-Sham (KS) and the generalized KS (GKS) frameworks from a theoretical perspective for both time-independent and time-dependent problems. We focus on the use of ...