Yazar "Çevikalp, Hakan" için listeleme
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Car detection in images taken from unmanned aerial vehicles [Insansiz Hava Araçlarindan Alinan Görüntülerdeki Araçlarin Konumlarinin Bulunmasi]
Sarıbas, H.; Çevikalp, Hakan; Kahvecioğlu, Seray (Institute of Electrical and Electronics Engineers Inc., 2018)In recent years, unmanned aerial vehicles have become a popular research platform with many application areas such as military, civil, commercial and recreational areas, thanks to their high maneuverability, vertical ... -
A comparison of the Common Vector and the discriminative Common Vector methods for face recognition
Çevikalp, Hakan; Barkana, B.; Barkana, Atalay (2005)The Common Vector (CV) method is a successful method which has been originally proposed for isolated word recognition problems in the case where the number of samples for each class is less than or equal to the dimensionality ... -
Fourler Dönüşüm Tabanlı Betimleyici Kullanarak Görsel Nesne Sınıflandırma
Çevikalp, Hakan; Kurt, Zuhal; Onarcan, Ahmet Okan (IEEE, 2013)Most of the state-ofarts visual object classification methods use bag of words model for image representation. In this method, patches extracted from images are described by different shape and texture descriptors such ... -
Kernel common vector method: A Novel nonlinear subspace classifier for pattern recognition
Çevikalp, Hakan; Nearntu, Marian; Barkana, Atalay (IEEE-Inst Electrical Electronics Engineers Inc, 2007)The common vector (CV) method is d linear subspace classifier method which allows one to discriminate between classes of data sets, such as those arising in image and word recognition. This method utilizes subspaces that ... -
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 ... -
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 ...
