Browsing by Keywords "Classification accuracy"

Now showing items 1-8 of 8

    • Classification by voting feature intervals 

      Demiröz, G.; Güvenir, A. H. (Springer, 1997)
      A new classification algorithm called VFI (for Voting Feature Intervals) is proposed. A concept is represented by a set of feature intervals on each feature dimension separately. Each feature participates in the classification ...

    • Classification of multichannel ECoG related to individual finger movements with redundant spatial projections 

      Onaran I.; Ince, N.F.; Cetin, A.E. (2011)
      We tackle the problem of classifying multichannel electrocorticogram (ECoG) related to individual finger movements for a brain machine interface (BMI). For this particular aim we applied a recently developed hierarchical ...

    • Extraction of sparse spatial filters using Oscillating Search 

      Onaran I.; Firat Ince, N.; Abosch, A.; Enis Cetin, A. (2012)
      Common Spatial Pattern algorithm (CSP) is widely used in Brain Machine Interface (BMI) technology to extract features from dense electrode recordings by using their weighted linear combination. However, the CSP algorithm, ...

    • Hareket geçmişi görüntüsü yöntemi ile Türkçe işaret dilini tanima uygulaması 

      Yalçinkaya, O.; Atvar, A.; Duygulu, P. (Institute of Electrical and Electronics Engineers Inc., 2016)
      İşitme ve konuşma engelli bireylerin toplum içerisinde diger bireylerle sağlıklı şekilde iletişim kurabilmeleri açısından işaret dili çok önemli bir role sahiptir. Ne yazık ki işaret dilinin toplumda sadece duyarlı insanlar ...

    • Machine-based learning system: classification of ADHD and non-ADHD participants 

      Öztoprak, H.; Toycan, M.; Alp, Y. K.; Arikan, O.; Doğutepe, E.; Karakaş S. (Institute of Electrical and Electronics Engineers Inc., 2017)
      Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among children who are referred to psychiatry departments. Although ADHD was discovered at the beginning of the 20th century, its diagnosis is ...

    • Multifont Ottoman character recognition 

      Öztürk, A.; Güneş, S.; Özbay, Y. (2000)
      Ottoman characters from three different fonts are used character recognition problem, broadly speaking, is transferring a page that contain symbols to the computer and matching these symbols with previously known or ...

    • 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 ...

    • Subset selection with structured dictionaries in classification 

      Ince, N.F.; Goksu F.; Tewfik, A.H.; Onaran I.; Cetin, A.E. (2007)
      This paper describes a new approach for the selection of discriminant time-frequency features for classification. Unlike previous approaches that use the individual discrimination power of expansion coefficients, the ...