Kurum Yazarı "Barkana, Atalay" Scopus İndeksli Yayınlar Koleksiyonu İçin Listeleme
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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 [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 ... -
Use of center of gravity with the common vector approach in isolated word recognition
Gülmezoğlu, M. Bilginer; Edizkan, Rıfat; Ergin, Semih; Barkana, Atalay (Pergamon-Elsevier Science LTD, 2011)In this paper, the subspace based classifier, common vector approach (CVA), with the center of gravity (COG) method is used for isolated word recognition. Since the CVA classifier is sensitive to shifts through the time ... -
Voltage waveform pattern selection for power quality event classification
Gerek, Ömer Nezih; Ece, D. Gökhan; Barkana, Atalay (IEEE, 2007)Selection of useful and appropriate identifiers plays an important role in most detection and classification problems including the analysis of voltage waveform for power quality (PQ). In this case, the identifiers are ...