Now showing items 1-4 of 4

    • Framework for online superimposed event detection by sequential Monte Carlo methods 

      Urfalıoğlu, Onay; Kuruoğlu, E. E.; Çetin, A. Enis (IEEE, 2008-03-04)
      In this paper, we consider online seperation and detection of superimposed events by applying particle filtering. We concentrate on a model where a background process, represented by a 1D-signal, is superimposed by an ...
    • İnsan hareketlerinin PIR-sensör tabanlı bir sistemle sınıflandırılması 

      Urfalıoğlu, Onay; Soyer, Emin B.; Töreyin, B. Uğur; Çetin, A. Enis (IEEE, 2008-04)
      Bu bildiride, tek bir pasif kızılberisi sensörü (PIR) kullanarak beş farklı insan hareketi ve bir hareketsiz arkaplan gürültüsünden oluşan toplam 6 çeşit olay için bir sınıflandırma yöntemi önerilmiştir. Otomatik olay ...
    • Levy walk evolution for global optimization 

      Urfalıoğlu, Onay; Çetin, A. Enis; Kuruoğlu, E. E. (ACM, 2008-07)
      A novel evolutionary global optimization approach based on adaptive covariance estimation is proposed. The proposed method samples from a multivariate Levy Skew Alpha-Stable distribution with the estimated covariance matrix ...
    • Randomized and rank based differential evolution 

      Urfalıoğlu, Onay; Arıkan, Orhan (IEEE, 2009-12)
      Many real world problems which can be assigned to the machine learning domain are inverse problems. The available data is often noisy and may contain outliers, which requires the application of global optimization. ...