Now showing items 1-4 of 4

    • A comprehensive approach to universal piecewise nonlinear regression based on trees 

      Vanli, N. D.; Kozat, S. S. (IEEE, 2014)
      In this paper, we investigate adaptive nonlinear regression and introduce tree based piecewise linear regression algorithms that are highly efficient and provide significantly improved performance with guaranteed upper ...
    • 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 ...
    • Piecewise nonlinear regression via decision adaptive trees 

      Vanlı, N. Denizcan; Sayın, Muhammed O.; Ergüt, S.; Kozat, Süleyman S. (IEEE, 2014-09)
      We investigate the problem of adaptive nonlinear regression and introduce tree based piecewise linear regression algorithms that are highly efficient and provide significantly improved performance with guaranteed upper ...
    • A VLSI receive beamformer for digital ultrasound imaging 

      Karaman, Mustafa; Kolağasıoğlu, Ertuğrul; Atalar, Abdullah (IEEE, 1992-03)
      A VLSI architecture for real-time digital receive beamforming in phased array ultrasound imaging is proposed. The architecture is an inverse binary tree like structure with N stages where N is the number of array elements. ...