Güncel Gönderiler: Fakülteler
Toplam kayıt 10075, listelenen: 2861-2880
-
Moving Object Tracking Within Surveillance Video Sequences Based On EDContours
(IEEE, 2015)We present a technique to track moving object in a video sequences created by still camera. Contours of each frame is detected using EDContours. Background model obtained with three point estimation technique is created ... -
A comparison of clustering-based privacy-preserving collaborative filtering schemes
(Elsevier, 2013)Privacy-preserving collaborative filtering (PPCF) methods designate extremely beneficial filtering skills without deeply jeopardizing privacy. However, they mostly suffer from scalability, sparsity, and accuracy problems. ... -
An improved privacy-preserving DWT-based collaborative filtering scheme
(Pergamon-Elsevier Science LTD, 2012)Collaborative filtering (CF) is one of the most efficient techniques to produce personalized recommendations and to deal with the information overload of modern times. Although CF techniques have immensely useful filtering ... -
An Improved Profile-based CF Scheme with Privacy
(IEEE Computer Soc, 2011)Traditional collaborative filtering (CF) systems widely employing k- nearest neighbor (kNN) algorithms mostly attempt to alleviate the contemporary problem of information overload by generating personalized predictions for ... -
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 ... -
A Multi-Criteria Item-based Collaborative Filtering Framework
(IEEE, 2014)Collaborative filtering methods are utilized to provide personalized recommendations for users in order to alleviate information overload problem in different domains. Traditional collaborative filtering methods operate ... -
A Survey of Privacy-Preserving Collaborative Filtering Schemes
(World Scientific Publ Co Pte LTD, 2013)With increasing need for preserving confidential data while providing recommendations, privacy-preserving collaborative filtering has been receiving increasing attention. To make data owners feel more comfortable while ... -
On Binary Similarity Measures for Privacy-Preserving Top-N Recommendations
(Scitepress, 2010)Collaborative filtering (CF) algorithms fundamentally depend on similarities between users and/or items to predict individual preferences. There are various binary similarity measures like Kulzinslcy, Sokal-Michener, Yule, ... -
A survey on ECG analysis
(Elsevier Sci LTD, 2018)The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the heart. In the literature, the ECG signal has been analyzed and utilized for various purposes, such as measuring the heart rate, ... -
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 ... -
On circular traffic sign detection and recognition
(Pergamon-Elsevier Science LTD, 2016)Automatic traffic sign detection and recognition play crucial roles in several expert systems such as driver assistance and autonomous driving systems. In this work, novel approaches for circular traffic sign detection and ... -
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 ... -
EDTriangles: a high-speed triangle detection algorithm with a false detection control
(Springer, 2018)We present a high-speed method for triangular object detection. The proposed method utilizes the recently developed, real-time edge segment detection algorithm, Edge Drawing; hence, the name EDTriangles, which consists of ... -
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 ... -
Quantification of Projective Distortion for Fiducial Markers
(IEEE, 2013)The aim of this study is to quantify the projective distortion of candidate quadrilaterals found in a square-framed fiducial marker detection algorithm. Based on the quantified value, candidates can be eliminated in such ... -
Comparison of Feature Extraction Techniques for Handwriting Recognition
(IEEE, 2018)Feature extraction is an important phase for image processing purposes since the output of the feature extraction is the input for classifiers. The importance of it applies to handwriting recognition problem, too. Distinctive ... -
Methods of Privacy Preserving in Collaborative Filtering
(IEEE, 2017)Privacy considerations of individuals becomes more and more popular issue in recommender systems due to the increasing need for protecting confidential data. Even though users of recommender systems enjoy with personalized ... -
Web Application Attack Detection and Forensics: A Survey
(IEEE, 2018)Web application attacks are an increasingly important area in information security and digital forensics. It has been observed that attackers are developing the capability to bypass security controls and launch a large ... -
Designing shilling attacks on disguised binary data
(Inderscience Enterprises LTD, 2017)Privacy-preserving collaborative filtering methods are effectual ways of coping with information overload problem while protecting confidential data. Their success depends on the quality of the collected data. However, ... -
Artificial Intelligence Aided Recommendation Based Mobile Trip Planner For Eskisehir City
(IEEE, 2015)Recent years have seen a proliferation of applications aimed for the mobile users. Although there are some mobile trip planning applications available for big cities such Istanbul, they lack some important features that ...
