Now showing items 1-10 of 10

    • Activity analysis for assistive systems 

      İşcen, Ahmet (Bilkent University, 2014)
      Although understanding and analyzing human actions is a popular research topic in computer vision, most of the research has focused on recognizing ”ordinary” actions, such as walking and jumping. Extending these methods ...
    • Detection and tracking of repeated sequences in videos 

      Can, Tolga (Bilkent University, 2007)
      In this thesis, we propose a new method to search different instances of a video sequence inside a long video. The proposed method is robust to view point and illumination changes which may occur since the sequences are ...
    • A graph based approach for finding people in news 

      Özkan, Derya (Bilkent University, 2007)
      Along with the recent advances in technology, large quantities of multi-modal data has arisen and became prevalent. Hence, effective and efficient retrieval, organization and analysis of such data constitutes a big ...
    • Leveraging large scale data for video retrieval 

      Armağan, Anıl (Bilkent University, 2014)
      The large amount of video data shared on the web resulted in increased interest on retrieving videos using usual cues, since textual cues alone are not sufficient for satisfactory results. We address the problem of ...
    • 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 ...
    • Naming faces on the web 

      Zitouni, Hilal (Bilkent University, 2010)
      In this study, we introduce a method to name less-frequently appearing people on the web via naming frequently appearing ones first. Current image search engines are widely used for querying a person, however; retrievals ...
    • A new representation for matching words 

      Ataer, Esra (Bilkent University, 2007)
      Large archives of historical documents are challenging to many researchers all over the world. However, these archives remain inaccessible since manual indexing and transcription of such a huge volume is difficult. In ...
    • Perception, learning and use of tool affordances on humanoid robots 

      Çalışkan, Yiğit (Bilkent University, 2013)
      Humans and some animals use di erent tools for di erent aims such as extending reach, amplifying mechanical force, create or augment signal value of social display, camou age, bodily comfort and e ective control of ...
    • Segmentation based Ottoman text and matching based Kufic image analysis 

      Adıgüzel, Hande (Bilkent University, 2013)
      Large archives of historical documents attract many researchers from all around the world. The increasing demand to access those archives makes automatic retrieval and recognition of historical documents crucial. Ottoman ...
    • 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 ...