Now showing items 1-9 of 9

    • 3D human pose search using oriented cylinders 

      Pehlivan, S.; Duygulu P. (2009)
      In this study, we present a representation based on a new 3D search technique for volumetric human poses which is then used to recognize actions in three dimensional video sequences. We generate a set of cylinder like 3D ...
    • Adaptive Hierarchical Space Partitioning for Online Classification 

      Fatih Kilic, O.; Denizcan Vanli, N.; Ozkan, H.; Delibalta, I.; Kozat, S. S. (European Signal Processing Conference, EUSIPCO, 2016)
      We propose an online algorithm for supervised learning with strong performance guarantees under the empirical zero-one loss. The proposed method adaptively partitions the feature space in a hierarchical manner and generates ...
    • Authorship attribution: performance of various features and classification methods 

      Bozkurt, I. N.; Bağlioğlu, Ö.; Uyar, E. (2007)
      Authorship attribution is the process of determining the writer of a document. In literature, there are lots of classification techniques conducted in this process. In this paper we explore information retrieval methods ...
    • A comparative study of classification methods for fall detection 

      Catalbas, B.; Yucesoy, B.; Secer G.; Aslan, M. (IEEE Computer Society, 2014)
      A comparative study of various fall detection algorithms based upon measurements of a wearable tri-axial accelerometer unit is presented in this paper. Least squares support vector machine, neural network and rule-based ...
    • Developing a text categorization template for Turkish news portals 

      Toraman, C.; Can F.; Koçberber, S. (2011)
      In news portals, text category information is needed for news presentation. However, for many news stories the category information is unavailable, incorrectly assigned or too generic. This makes the text categorization a ...
    • Feature extraction and classification in a two-state brain-computer interface 

      Altindis, F.; Yilmaz, B. (Institute of Electrical and Electronics Engineers Inc., 2017)
      Brain Computer Interface (BCI) technology is used to help patients who do not have control over motor neurons such as ALS or paralyzed patients, to communicate with outer world. This work aims to classify motor imageries ...
    • Human activity recognition using tag-based localization 

      Yurtman, A.; Barshan, B. (2012)
      This paper provides a comparative study on the different techniques of classifying human activities using a tag-based radio-frequency (RF) localization system. Non-uniformly-sampled data containing position measurements ...
    • 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 ...
    • A signal representation approach for discrimination between full and empty hazelnuts 

      Onaran I.; Ince, N.F.; Tewfik, A.H.; Cetin, A.E. (2007)
      We apply a sparse signal representation approach to impact acoustic signals to discriminate between empty and full hazelnuts. The impact acoustic signals are recorded by dropping the hazelnut shells on a metal plate. The ...