Now showing items 1-6 of 6

    • Approximate computation of DFT without performing any multiplications: application to radar signal processing 

      Arslan, Musa Tunç; Bozkurt, Alican; Sevimli, Rasim Akın; Akbaş, Cem Emre; Çetin, A. Enis (IEEE, 2014)
      In many radar problems it is not necessary to compute the ambiguity function in a perfect manner. In this article a new multiplication free algorithm for approximate computation of the ambiguity function is introduced. All ...
    • Comparison of multi-scale directional feature extraction methods for image processing 

      Bozkurt, Alican (Bilkent University, 2013)
      Almost all images that are presented in classification problems regardless of area of application, have directional information embedded into its texture. Although there are many algorithms developed to extract this ...
    • Çarpmasız yapay sinir ağı 

      Akbaş, Cem Emre; Bozkurt, Alican; Çetin, A. Enis; Çetin-Atalay, R.; Üner, A. (IEEE, 2015-05)
      Bu bildiride çarpma işlemi kullanmadan oluşturulan bir Yapay Sinir Ağı (YSA) sunulmaktadır. Girdi vektörleri ve YSA katsayılarının iç çarpımları çarpmasız bir vektör işlemiyle hesaplanmıştır. Yapay sinir ağının eğitimi ...
    • Deconvolution using projections onto the epigraph set of a convex cost function 

      Tofighi, Mohammad; Bozkurt, Alican; Köse, K.; Çetin, A. Enis (IEEE, 2014)
      A new deconvolution algorithm based on making orthogonal projections onto the epigraph set of a convex cost function is presented. In this algorithm, the dimension of the minimization problem is lifted by one and sets ...
    • L1 norm based multiplication-free cosine similarity measures for big data analysis 

      Akbaş, Cem Emre; Bozkurt, Alican; Arslan, Musa Tunç; Aslanoğlu, Hüseyin; Çetin, A. Enis (IEEE, 2014-11)
      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 ...
    • Projections onto convex sets (POCS) based optimization by lifting 

      Çetin, A. Enis; Bozkurt, Alican; Günay, Osman; Habiboglu, Yusuf Hakan; Köse, K.; Onaran, İbrahim; Tofighi, Mohammad; Sevimli, Rasim Akın (IEEE, 2013)
      A new optimization technique based on the projections onto convex space (POCS) framework for solving convex and some non-convex optimization problems are presented. The dimension of the minimization problem is lifted by ...