Yazar "Koç, Mehmet" için Makale Koleksiyonu listeleme
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Application of Linear Regression Classification to low-dimensional datasets
Koç, Mehmet; Barkana, Atalay (Elsevier Science BV, 2014)The Traditional Linear Regression Classification (LRC) method fails when the number of data in the training set is greater than their dimensions. In this work, we proposed a new implementation of LRC to overcome this problem ... -
Discriminative common vector approach based feature selection in face recognition
Koç, Mehmet; Barkana, Atalay (Pergamon-Elsevier Science LTD, 2014)A novel feature selection algorithm is proposed, which is related to the Discriminative Common Vector Approach (DCVA) utilized as a means to reduce the computational complexity of the facial recognition problem. The ... -
A fast method for the implementation of common vector approach
Koç, Mehmet; Barkana, Atalay; Gerek, Ömer Nezih (Elsevier Science Inc, 2010)In this paper a novel computation method is proposed to perform the common vector approach (CVA) faster than its conventional implementation in pattern recognition. While conventional CVA calculations perform the classification ... -
A new solution to one sample problem in face recognition using FLDA
Koç, Mehmet; Barkana, Atalay (Elsevier Science Inc, 2011)Fisher linear discriminant analysis (FLDA) is a very popular method in face recognition. But FLDA fails when one image per person is available. This is due to the fact that the within-class scatter matrices cannot be ... -
A Novel Implementation Algorithm For Calculation of
Koç, Mehmet; Barkana, Atalay (2016)Common vector approach (CVA), discriminative common vector approach (DCVA), and linear regression classification (LRC) are subspace methods used in pattern recognition. Up to now, there were two well-known algorithms to ...