Now showing items 1-7 of 7

    • Conceptfusion: A flexible scene classification framework 

      Sarac, M.I.; Iscen, A.; Golge, E.; Duygulu P. (Springer Verlag, 2015)
      We introduce ConceptFusion, a method that aims high accuracy in categorizing large number of scenes, while keeping the model relatively simpler and efficient for scalability. The proposed method combines the advantages of ...
    • ConceptMap: mining noisy web data for concept learning 

      Golge, E.; Duygulu, P. (Springer Verlag, 2014)
      We attack the problem of learning concepts automatically from noisy Web image search results. The idea is based on discovering common characteristics shared among subsets of images by posing a method that is able to organise ...
    • The effect of task on cue usefulness for visual scene classification 

      Karaca, Meltem (Bilkent University, 2017-06)
      Detecting objects in the environment is one of the most fundamental functions of the visual system. Humans are highly effective at this, and past studies have shown that we can process things like whether or not an animal ...
    • Mining web images for concept learning 

      Golge, Eren (Bilkent University, 2014-08)
      We attack the problem of learning concepts automatically from noisy Web image search results. The idea is based on discovering common characteristics shared among category images by posing two novel methods that are able ...
    • Nearest-neighbor based metric functions for indoor scene recognition 

      Cakir, F.; Güdükbay U.; Ulusoy, Ö. (Academic Press, 2011)
      Indoor scene recognition is a challenging problem in the classical scene recognition domain due to the severe intra-class variations and inter-class similarities of man-made indoor structures. State-of-the-art scene ...
    • Scene classification with random forests and object and color distributions 

      Iscen, A.; Gölge, E.; Armagan, A.; Duygulu P. (2013)
      We propose a method to recognize the scene of an image by finding the objects and the colors it contains. We approach this problem by creating a binary vector of detected objects and a histogram of the colors that the image ...
    • Semantic scene classification for content-based image retrieval 

      Çavuş, Özge (Bilkent University, 2008)
      Content-based image indexing and retrieval have become important research problems with the use of large databases in a wide range of areas. Because of the constantly increasing complexity of the image content, low-level ...