Now showing items 1-2 of 2

    • 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 ...
    • On capacity and coding for segmented deletion channels 

      Wang, F.; Aktaş, Defne; Duman, T. M. (IEEE, 2011)
      We consider binary deletion channels with a segmentation assumption which appears to be suited for more practical scenarios. Unlike the binary independent and identically distributed (i.i.d.) deletion channel where each ...