Yayıncı "Elsevier Science BV" Bilgisayar Mühendisliği Bölümü için listeleme
Toplam kayıt 11, listelenen: 1-11
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Arbitrarily distributed data-based recommendations with privacy
(Elsevier Science BV, 2012)Collaborative filtering (CF) systems use customers' preferences about various products to offer recommendations. Providing accurate and reliable predictions is vital for both e-commerce companies and their customers. To ... -
CEDContours: A high speed contour detector for color images
(Elsevier Science BV, 2016)We propose a high-speed contour detector for color images that produces its contours as set of edge segments, each a chain of pixels. The proposed algorithm performs a multi-scale analysis of the input image by combining ... -
A computational morphological lexicon for Turkish: TrLex
(Elsevier Science BV, 2018)A morphological lexicon that is a computational source should be considered together with derivational morphology especially for agglutinative languages. To the best of our knowledge, in the Turkish language there has been ... -
EDLines: A real-time line segment detector with a false detection control
(Elsevier Science BV, 2011)We propose a linear time line segment detector that gives accurate results, requires no parameter tuning, and runs up to 11 times faster than the fastest known line segment detector in the literature; namely, the line ... -
Modeling and prediction with a class of time delay dynamic neural networks
(Elsevier Science BV, 2007)In this paper, we propose a time delay dynamic neural network (TDDNN) to track and predict a chaotic time series systems. The application of artificial neural networks to dynamical systems has been constrained by the ... -
A novel probabilistic feature selection method for text classification
(Elsevier Science BV, 2012)High dimensionality of the feature space is one of the most important concerns in text classification problems due to processing time and accuracy considerations. Selection of distinctive features is therefore essential ... -
A novel shilling attack detection method
(Elsevier Science BV, 2014)Recommender systems provide an impressive way to overcome information overload problem. However, they are vulnerable to profile injection or shilling attacks. Malicious users and/or parties might construct fake profiles ... -
Privacy-preserving kriging interpolation on partitioned data
(Elsevier Science BV, 2014)Kriging is well-known, frequently applied method in geo-statistics. Its success primarily depends on the total number of measurements for some sample points. If there are sufficient sample points with measurements, kriging ... -
Privacy-preserving SOM-based recommendations on horizontally distributed data
(Elsevier Science BV, 2012)To produce predictions with decent accuracy, collaborative filtering algorithms need sufficient data. Due to the nature of online shopping and increasing amount of online vendors, different customers' preferences about the ... -
Randomization-based Privacy-preserving Frameworks for Collaborative Filtering
(Elsevier Science BV, 2016)Randomization-based privacy protection methods are widely used in collaborative filtering systems to achieve individual privacy. The basic idea behind randomization utilized in collaborative filtering schemes is to add ... -
Reconstructing rated items from perturbed data
(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 ...