Yazar "Yavuz, Hasan Serhan" için listeleme
-
Large margin classifiers based on affine hulls
Çevikalp, Hakan; Triggs, Bill; Yavuz, Hasan Serhan; Küçük, Yalçın; Küçük, Mahide; Barkana, Atalay (Elsevier Science BV, 2010)This paper introduces a geometrically inspired large margin classifier that can be a better alternative to the support vector machines (SVMs) for the classification problems with limited number of training samples. In ... -
Modelling and comparison of compressor performance parameters by using ANFIS
Yazar, Işıl; Kıyak, Emre; Yavuz, Hasan Serhan (Trans Tech Publications Ltd, 2014)Developing a robust control algorithm for an aircraft engine requires an accurate nonlinear mathematical model. In formation of a nonlinear mathematical model, some components like compressor and turbine are modeled by ... -
Two dimensional (2D) subspace classifiers for image recognition
The Class-Featuring Information Compression (CLAFIC) is a pattern classification method which uses a linear subspace for each class. In order to apply the CLAFIC method to image recognition problems, 2D image matrices must ... -
Two-dimensional CLAFIC methods for image recognition
Yavuz, Hasan Serhan; Çevikalp, Hakan; Barkana, Atalay (IEEE, 2006)In this paper, we propose two variations of vector based class-featuring information compression (CLAFIC) methods which can be applied directly to the gray level digital image data. In these methods, gray level digital ... -
Two-dimensional CLAFIC methods for image recognition [Görüntü tanimada i·ki boyutlu CLAFIC yöntemleri]
In this paper, we propose two variations of vector based class-featuring information compression (CLAFIC) methods which can be applied directly to the gray level digital image data. In these methods, gray level digital ... -
Two-dimensional subspace classifiers for face recognition
Çevikalp, Hakan; Yavuz, Hasan Serhan; Cay, Mehmet Atif; Barkana, Atalay (Elsevier Science BV, 2009)The subspace classifiers are pattern classification methods where linear subspaces are used to represent classes. In order to use the classical subspace classifiers for face recognition tasks, two-dimensional (2D) image ...
