Now showing items 1-6 of 6

    • Alignment of uncalibrated images for multi-view classification 

      Arık, Sercan Ömer; Vuraf, E.; Frossard P. (IEEE, 2011)
      Efficient solutions for the classification of multi-view images can be built on graph-based algorithms when little information is known about the scene or cameras. Such methods typically require a pair-wise similarity ...
    • Görsel arama sonuçlarının çoklu örnekle öğrenme yöntemiyle yeniden sıralanması 

      Şener, Fadime; Cinbiş, N. I.; Duygulu-Şahin, Pınar (IEEE, 2012-04)
      Bu çalışmada, çoklu öğrenme yöntemi ile metin tabanlı arama motorlarından elde edilen görsel sorgu sonuçlarını iyileştirmek için geliştirilmiş olan, zayıf denetimli öğrenen bir yöntem sunulmaktadır. Bu yöntemde arama ...
    • L1 norm based multiplication-free cosine similarity measures for big data analysis 

      Akbas, C.E.; Bozkurt, A.; Arslan, M.T.; Aslanoglu H.; Cetin, A.E. (Institute of Electrical and Electronics Engineers Inc., 2014)
      The cosine similarity measure is widely used in big data analysis to compare vectors. In this article a new set of vector similarity measures are proposed. New vector similarity measures are based on a multiplication-free ...
    • New event detection and topic tracking in Turkish 

      Can, F.; Kocberber, S.; Baglioglu, O.; Kardas, S.; Ocalan, H. C.; Uyar, E. (John Wiley & Sons, Inc., 2010)
      Topic detection and tracking (TDT) applications aim to organize the temporally ordered stories of a news stream according to the events. Two major problems in TDT are new event detection (NED) and topic tracking (TT). These ...
    • Stylistic document retrieval for Turkish 

      Zamalieva, Daniya; Kalaycılar, Fırat; Kale, Aslı; Pehlivan, Selen; Can, Fazlı (IEEE, 2009-09)
      In information retrieval (IR) systems, there are a query and a collection of documents compared with this query and ranked according to a particular similarity measure. Since texts with the same content can be written by ...
    • Topic tracking using chronological term ranking 

      Acun, Bilge; Başpınar, Alper; Oǧuz, Ekin; Saraç, M.İlker; Can, Fazlı (2013-10)
      Topic tracking (TT) is an important component of topic detection and tracking (TDT) applications. TT algorithms aim to determine all subsequent stories of a certain topic based on a small number of initial sample stories. ...