Yazar "Koç, Mehmet" için 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 ... -
Application of the discriminative common vector approach to one sample problem [Ayirtedi·ci· ortak vektör yaklaşiminin tek örnek problemi·ne uygulanmasi]
Koç, Mehmet; Barkana, Atalay (2012)Matrix-based (2D) methods have advantages over vector-based (1D) methods. Matrix-based methods generally have less computational costs and higher recognition performances with respect to vector-based variants. In this work ... -
Bir döküm fabrikasının doğal gaza dönüşüm projesi ve getireceği avantajlar
Koç, Mehmet (Anadolu Üniversitesi, 1993)Varlığı çok eskiden beri bilinmesine rağmen, kullanımı gelişmiş ülkelerde son yüzyılda oldukça artan doğal gaz, 1988 yılından beri ülkemizde de kullanılmaktadır. Taşınması, dağıtılması, yakma kolay- lığı, birçok sahada ... -
Bölünmüş veri-tabanlı gizliliği koruyan ortak filtreleme sistemlerinde gizli verinin elde edilmesi
Ortak filtreleme algoritmalarının doğru ve güvenilir öneriler üretebilmesi için yeterli veriye ihtiyaç vardır. Bu nedenle yetersiz veriye sahip iki elektronik alışveriş sitesi gizliliklerini ihlal etmeden aralarındaki ... -
A Comparison of Classification Methods for Local Binary Patterns
Kazak, Nihan; Koç, Mehmet; Benligiray, Burak; Topal, Cihan (IEEE, 2016)Texture recognition is an important tool used for content-based image retrieval, face recognition, and satellite image classification applications. One of the most successful features for texture recognition is local binary ... -
A comparison of classification methods for local binary patterns [Yerel Ikili Örüntüler Için Siniflandirma Yöntemlerinin Karşilaştirilmasi]
Kazak, N.; Koç, Mehmet; Benligiray, Burak; Topal, Cihan (Institute of Electrical and Electronics Engineers Inc., 2016)Texture recognition is an important tool used for content-based image retrieval, face recognition, and satellite image classification applications. One of the most successful features for texture recognition is local binary ... -
Deriving private data in partitioned data-based privacy-preserving collaborative filtering systems
Okkalıoğlu, Burcu Demirelli; Koç, Mehmet; Polat, Hüseyin (Gazi University, Fac Engineering Architecture, 2017)Collaborative filtering algorithms need enough data to provide accurate and reliable predictions. Hence, two e-commerce sites holding insufficient data may want to provide predictions on their partitioned data with privacy. ... -
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 Common Vector Approach
Koç, Mehmet; Barkana, Atalay (IEEE, 2009)In this paper a new method is proposed to perform the Common Vector Approach(CVA). While CVA performs the classification with respect to the distance between vectors, the new method performs the classification with respect ... -
A fast method for the common vector approach [Ortak vektör yaklaşimi i·çin hizli bir yöntem]
Koç, Mehmet; Barkana, Atalay (2009)In this paper a new method is proposed to perform the Common Vector Approach(CVA). While CVA performs the classification with respect to the distance between vectors, the new method performs the classification with respect ... -
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 ... -
Modular Common Vector Approach
Koç, Mehmet; Barkana, Atalay (IEEE, 2014)The performance of a face recognition system is negatively affected by the accessories used on the face Like many methods, the recognition performance of the Common Vector Approach (CVA) [1] over occluded images is not at ... -
Modular common vector approach [Modüler ortak vektör yaklaşimi]
Koç, Mehmet; Barkana, Atalay (IEEE Computer Society, 2014)The performance of a face recognition system is negatively affected by the accessories used on the face. Like many methods, the recognition performance of the Common Vector Approach (CVA) [1] over occluded images is not ... -
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 ... -
On the Discovery of Fake Binary Ratings
Okkalıoğlu, Murat; Koç, Mehmet; Polat, Hüseyin (Assoc Computing Machinery, 2015)Privacy-preserving collaborative filtering methods promise to preserve privacy of individuals. In general, privacy has two aspects, preserving the rating values of users and masking who rated which items. In this study, ... -
On the Privacy of Horizontally Partitioned Binary Data-Based Privacy-Preserving Collaborative Filtering
Okkalıoğlu, Murat; Koç, Mehmet; Polat, Hüseyin (Springer Int Publishing Ag, 2016)Collaborative filtering systems provide recommendations for their users. Privacy is not a primary concern in these systems; however, it is an important element for the true user participation. Privacy-preserving collaborative ... -
ORTAK VEKTÖR VE AYIRTEDİCİ ORTAK VEKTÖR YAKLAŞIMLARI İLE ÖZNİTELİK SEÇİMİ YÖNTEMİ
Koç, Mehmet; Barkana, Atalay (2011)Gerçek zamanlı yüz tanıma uygulamaları için öznitelik vektörü boyutu çok önemlidir. Yüksek boyutlu öznitelik vektörleri yüz tanıma sisteminin hesaplama karmaşıklığını ve yürütüm süresini arttırmaktadır. Bu çalışmada, ... -
Pcf: Projection-Based Collaborative Filtering
Yakut, İbrahim; Polat, Hüseyin; Koç, Mehmet (Scitepress, 2010)Collaborative filtering (CF) systems are effective solutions for information overload problem while contributing web personalization. Different memory-based algorithms operating over entire data set have been utilized for ... -
Reconstructing rated items from perturbed data
Okkalıoğlu, Burcu Demirelli; Koç, Mehmet; Polat, Hüseyin (Elsevier Science BV, 2016)The basic idea behind privacy-preserving collaborative filtering schemes is to prevent data collectors from deriving the actual rating values and the rated items. Different data perturbation methods have been proposed to ...
