Browsing Bilgisayar Mühendisliği Bölümü by Title
Now showing items 176-195 of 216
-
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 ... -
Real-time Edge Segment Detection with Edge Drawing Algorithm
(IEEE, 2011)Edge Drawing (ED) is an edge detection method that works by computing a set of anchor points, which are most likely to be edge elements, and linking them with a predefined set of rules which we call smart routing. ED can ... -
Realtime circular object detection based on the statistical compactness estimation [İstati·sti·ksel tikizlik kesti·ri·mi·ne dayali gerçek zamanli dai·resel nesne tespi·ti·]
(2012)Gathering statistical and geometrical information by processing the shape contours is the common way of feature extraction on object detection and recognition studies. Compactness is an important shape descriptor which ... -
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 ... -
A review on deep learning for recommender systems: challenges and remedies
(Springer, 2019)Recommender systems are effective tools of information filtering that are prevalent due to increasing access to the Internet, personalization trends, and changing habits of computer users. Although existing recommender ... -
A Robust Css Corner Detector Based on the Turning Angle Curvature of Image Gradients
(IEEE, 2013)In this study, we present a new contour-based corner detection method based on the turning angle curvature computed from the contour gradients of the image. In general, curvature is computed with the pixel locations of the ... -
A robust CSS corner detector based on the turning angle curvature of image gradients
(2013)In this study, we present a new contour-based corner detection method based on the turning angle curvature computed from the contour gradients of the image. In general, curvature is computed with the pixel locations of the ... -
A Robust Multi-Criteria Collaborative Filtering Algorithm
(IEEE, 2018)Collaborative filtering recommender systems assist individuals to discover relevant products or services that they might be interested in a large set of alternatives by analyzing the collected preferences. Recent research ... -
Robustness analysis of arbitrarily distributed data-based recommendation methods
(Pergamon-Elsevier Science LTD, 2016)Due to different shopping routines of people, rating preferences of many customers might be partitioned between two parties. Since two different e-companies might sell products from the same range to the identical set of ... -
Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks
(Pergamon-Elsevier Science LTD, 2019)Collaborative filtering is an emerging recommender system technique that aims guiding users based on other customers preferences with behavioral similarities. Such correspondences are located based on preference history ... -
Robustness Analysis of Naive Bayesian Classifier-Based Collaborative Filtering
(Springer-Verlag Berlin, 2013)In this study, binary forms of previously defined basic shilling attack models are proposed and the robustness of naive Bayesian classifier-based collaborative filtering algorithm is examined. Real data-based experiments ... -
Robustness analysis of naïve Bayesian classifier-based collaborative filtering
(Springer Verlag, 2013)In this study, binary forms of previously defined basic shilling attack models are proposed and the robustness of naïve Bayesian classifierbased collaborative filtering algorithm is examined. Real data-based experiments ... -
Robustness analysis of privacy-preserving model-based recommendation schemes
(Pergamon-Elsevier Science LTD, 2014)Privacy-preserving model-based recommendation methods are preferable over privacy-preserving memory-based schemes due to their online efficiency. Model-based prediction algorithms without privacy concerns have been ... -
A scalable privacy-preserving recommendation scheme via bisecting k-means clustering
(Elsevier Sci LTD, 2013)Privacy-preserving collaborative filtering is an emerging web-adaptation tool to cope with information overload problem without jeopardizing individuals' privacy. However, collaborative filtering with privacy schemes ... -
The search for optimal feature set in power quality event classification
(Pergamon-Elsevier Science LTD, 2009)The significance of detection and classification of power quality (PQ) events that disturbs the voltage and/or current waveforms in the electrical power distribution networks is well known. Consequently, in spite of a large ... -
Secure seamless peer-to-peer (P2P) UDP communication using IPv4 LSRR option and IPv4+4 addresses
(Pergamon-Elsevier Science LTD, 2009)The current structure of the Internet, with hosts behind network address translation (NAT) boxes, Causes well-known problems for P2P applications. There are several proposals, e.g., STUN, UPnP, MIDCOM, TURN among others, ... -
Sentiment Classification based on Domain Prediction
(Kaunas University Technology, 2016)Sentiment classification has received increasing attention in recent years. Supervised learning methods for sentiment classification require considerable amount of labeled data for training purposes. As the number of domains ... -
Sentiment classification: Feature selection based approaches versus deep learning
(IEEE, 2017)Classification of text documents is commonly carried out using various models of bag-of-words that are generated using feature selection methods. In these models, selected features are used as input to well-known classifiers ... -
Shilling Attacks Against Memory-Based Privacy-Preserving Recommendation Algorithms
(Ksii-Kor Soc Internet Information, 2013)Privacy-preserving collaborative filtering schemes are becoming increasingly popular because they handle the information overload problem without jeopardizing privacy. However, they may be susceptible to shilling or profile ... -
Shilling attacks against recommender systems: a comprehensive survey
(Springer, 2014)Online vendors employ collaborative filtering algorithms to provide recommendations to their customers so that they can increase their sales and profits. Although recommendation schemes are successful in e-commerce sites, ...