Now showing items 1-4 of 4

    • Machine-based learning system: classification of ADHD and non-ADHD participants 

      Öztoprak, H.; Toycan, M.; Alp, Y. K.; Arıkan, Orhan; Doğutepe, E.; Karakaş, S. (IEEE, 2017)
      Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among children who are referred to psychiatry departments. Although ADHD was discovered at the beginning of the 20th century, its diagnosis is ...
    • Multidimensional classification approach for defining product line engineering transition strategies 

      Tekinerdoğan, Bedir; Tüzün, E.; Şaykol, E. (Springer, Berlin, Heidelberg, 2010)
      It is generally acknowledged that the transitioning process to a product line engineering approach is not trivial and as such requires a planned transition process. Different classifications of transition strategies have ...
    • Rapid classification of surface reflectance from image velocities 

      Doerschner, Katja; Kersten, D.; Schrater P. (Springer, Berlin, Heidelberg, 2009)
      We propose a method for rapidly classifying surface reflectance directly from the output of spatio-temporal filters applied to an image sequence of rotating objects. Using image data from only a single frame, we compute ...
    • Subset selection with structured dictionaries in classification 

      İnce, N. F.; Göksu, F.; Tewfik, A. H.; Onaran, İbrahim; Çetin, A. Enis (EURASIP, 2007)
      This paper describes a new approach for the selection of discriminant time-frequency features for classification. Unlike previous approaches that use the individual discrimination power of expansion coefficients, the ...