Now showing items 1-2 of 2

    • Bilkent University at TRECVID 2005 

      Aksoy, Selim; Avcı, Akın; Balçık, Erman; Çavuş, Özge; Duygulu, Pınar; Karaman, Zeynep; Kavak, Pınar; Kaynak, Cihan; Küçükayvaz, Emre; Öcalan, Çağdaş; Yıldız, Pınar (National Institute of Standards and Technology, 2005-11)
      We describe our second-time participation, that includes one high-level feature extraction run, and three manual and one interactive search runs, to the TRECVID video retrieval evaluation. All of these runs have used a ...
    • Classification of human carcinoma cells using multispectral imagery 

      Çınar, U.; Çetin, Y. Y.; Çetin-Atalay, R.; Çetin, A. Enis (SPIE, 2016)
      In this paper, we present a technique for automatically classifying human carcinoma cell images using textural features. An image dataset containing microscopy biopsy images from different patients for 14 distinct cancer ...