Now showing items 1-8 of 8

    • Benefit maximizing classification using feature intervals 

      İkizler, Nazlı (Bilkent University, 2002)
      For a long time, classification algorithms have focused on minimizing the quantity of prediction errors by assuming that each possible error has identical consequences. However, in many real-world situations, this ...
    • GOPred: GO molecular function prediction by combined classifiers 

      Saraç Ö.S.; Atalay V.; Cetin-Atalay, R. (2010)
      Functional protein annotation is an important matter for in vivo and in silico biology. Several computational methods have been proposed that make use of a wide range of features such as motifs, domains, homology, structure ...
    • Human face detection and eye location in video using wavelets 

      Türkan, Mehmet (Bilkent University, 2006)
      Human face detection and eye localization problems have received significant attention during the past several years because of wide range of commercial and law enforcement applications. In this thesis, wavelet domain ...
    • Profiling turkish honeys to determine authenticity using physical and chemical characteristics 

      Senyuva H.Z.; Gilbert J.; Silici, S.; Charlton, A.; Dal, C.; Gürel, N.; Cimen, D. (2009)
      Seventy authentic honey samples of 9 different floral types (rhododendron, chestnut, honeydew, Anzer (thymus spp.), eucalyptus, gossypium, citrus, sunflower, and multifloral) from 15 different geographical regions of Turkey ...
    • Pyroelectric infrared (PIR) sensor based event detection 

      Soyer, Emin Birey (Bilkent University, 2009)
      Pyroelectric Infra-red (PIR) sensors have been extensively used in indoor and outdoor applications as they are low cost, easy to use and widely available. PIR sensors respond to IR radiating objects moving in its viewing ...
    • Recognition and classification of human activities using wearable sensors 

      Yurtman, Aras (Bilkent University, 2012)
      We address the problem of detecting and classifying human activities using two different types of wearable sensors. In the first part of the thesis, a comparative study on the different techniques of classifying human ...
    • Recursion operators and classification of integrable nonlinear equations 

      Bilen, Ergün (Bilkent University, 2012)
      Recursion operators, if they exist, of nonlinear partial differential equations map symmetries to symmetries of these equations. It is this property that the integrable nonlinear partial differential equations possess ...
    • Understanding human motion : recognition and retrieval of human activities 

      İkizler, Nazlı (Bilkent University, 2008)
      Within the ever-growing video archives is a vast amount of interesting information regarding human action/activities. In this thesis, we approach the problem of extracting this information and understanding human motion ...