Now showing items 1-4 of 4

    • Multi-channel TDMA scheduling in wireless sensor networks 

      Uyanık, Özge (Bilkent University, 2013)
      The Multiple Instance Learning (MIL) paradigm arises to be useful in many application domains, whereas it is particularly suitable for computer vision problems due to the difficulty of obtaining manual labeling. Multiple ...
    • On recognizing actions in still images via multiple features 

      Şener, Fadime; Bas, C.; Ikizler-Cinbis, N. (Springer, Berlin, Heidelberg, 2012)
      We propose a multi-cue based approach for recognizing human actions in still images, where relevant object regions are discovered and utilized in a weakly supervised manner. Our approach does not require any explicitly ...
    • Theoretical and spectroscopic investigations on the structure and bonding in B-C-N thin films 

      Bengu, E.; Genisel, M. F.; Gulseren, O.; Ovali, R. (2009)
      In this study, we have synthesized boron, carbon, and nitrogen containing films using RF sputter deposition. We investigated the effects of deposition parameters on the chemical environment of boron, carbon, and nitrogen ...
    • Utilizing multiple instance learning for computer vision tasks 

      Şener, Fadime (Bilkent University, 2013)
      The Multiple Instance Learning (MIL) paradigm arises to be useful in many application domains, whereas it is particularly suitable for computer vision problems due to the difficulty of obtaining manual labeling. Multiple ...