Güncel Gönderiler: Bilgisayar Mühendisliği Bölümü
Toplam kayıt 216, listelenen: 21-40
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Privacy-preserving normalized ratings-based weighted slope one predictor
(WITPress, 2016)Weighted Slope One predictor is proposed as a model-based collaborative filtering algorithm based on user ratings. The predictor is able to efficiently provide accurate predictions. The scheme utilizes user's true ratings. ... -
A novel multi-sensor and multi-Topological database for indoor positioning on fingerprint techniques
(Institute of Electrical and Electronics Engineers Inc., 2015)In fingerprinting-based indoor positioning systems, Received Signal Strength (RSS) values are collected at predetermined reference points to construct a fingerprint map. A well-established fingerprint database plays an ... -
Artificial intelligence aided recommendation based mobile trip planner for Eskisehir city
(Institute of Electrical and Electronics Engineers Inc., 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 ... -
Privacy-preserving item-based recommendations over partitioned data with overlaps
(Inderscience Enterprises Ltd., 2017)User ratings are vital elements to drive recommender systems and, in the case of an insufficient amount of ratings, companies may prefer to operate recommender services over partitioned data. To make this feasible, there ... -
Corner detection with bilateral filtering of freeman codes [Freeman kodlarinin çi·ft-yönlü süzgeç lenmesi· i·le köşe tespi·ti·]
(2011)Shape contours are one of the most widely used features in the shape detection and recognition applications. A contour can be represented by the chain code which is obtained by coding the relative directions of the elements ... -
A hybrid fingerprint based indoor positioning with extreme learning machine [Aşiri Ögrenme Makinesi ile Hibrid Parmakizi Tabanli iç Ortam Konumlandirma]
(Institute of Electrical and Electronics Engineers Inc., 2017)Though global positioning system is a well-accepted technology for outdoor positioning, it is ineffective for indoor environment. Therefore, the search for effective and cheap solutions still continues. In this work, it ... -
Joint features regression for Cold-Start Recommendation on VideoLectures.Net
(CEUR-WS, 2011)Recommender systems are popular information filtering systems used in various domains. Cold-start problem is a key challenge in a recommender system. In newitem/existing-user case of the cold-start problem, which is ... -
Integration of classification algorithms for indoor positioning system
(Institute of Electrical and Electronics Engineers Inc., 2017)Positioning applications become more popular with the advancement of location aware services. Global Positioning System is a successful solution for outdoors whereas it is not suitable for indoor environments due to the ... -
Detection of SMS spam messages on mobile phones [Mobi·l telefonlarda i·stenmeyen SMS mesajlarinin beli·rlenmesi·]
(2012)In this study, a novel "SMS spam message filter" utilizing effective feature selection and pattern classification techniques is proposed. The proposed filter detects and filters out SMS spam messages in a smart manner ... -
UTCP: Unordered transmission control protocol (TCP) for high throughput bulk data transfer
(2011)Transmission Control Protocol (TCP), which offers a reliable, in-order packet delivery service, is at the heart of many Internet protocols including File Transfer Protocol (FTP), Hypertext Transfer Protocol (HTTP). It is ... -
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 ... -
Motion compensated video coder based on block matching method with variable-sized blocks [Degi·şken-büyüklükte blok karşilaştirma yöntemi· i·le hareket dengelemeli· vi·deo kodlayici]
(2012)This study aims to improve the efficiency of the hybrid (lifting and motion compensation) video compression method by incorporating variable block size for block matching. That hybrid method first separates even and odd ... -
Parallel matrix multiplication for various implementations
(IEEE Computer Society, 2013)It has become increasingly common to see that supercomputing applications harness the massive parallelism of graphics cards to speed up computations. In this study, an analysis concerning to the time necessity for four ... -
Corner detection via trilateral filtering of chain codes
(2011)Contours are the most common feature used in the shape detection and recognition applications. Contours in digital images constitute of consecutive pixels, thus they can be represented with chain codes by encoding the ... -
Parallelizing edge drawing algorithm on CUDA
(2012)Parallel computing methods are very useful in speeding up algorithms that can be divided into independent subtasks. Traditional multi-processor architectures have limited use due to their high cost and difficulties of their ... -
A novel framework for SMS spam filtering
(2012)A novel framework for SMS spam filtering is introduced in this paper to prevent mobile phone users from unsolicited SMS messages. The framework makes use of two distinct feature selection approaches based on information ... -
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 ... -
Estimating Kriging-based predictions with privacy
(2013)Kriging is a well-known prediction method. It interpolates the value of an unmeasured location from nearby measured locations. In a traditional Kriging interpolation, a client (an entity that is looking for a prediction ... -
Effects of inconsistently masked data using RPT on CF with privacy
(2007)Randomized perturbation techniques (RPT) are applied to perturb the customers' private data to protect privacy while providing accurate referrals. In the RPT-based collaborative filtering (CF) with privacy schemes, proposed ... -
Providing naïve Bayesian classifier-based private recommendations on partitioned data
(2007)Data collected for collaborative filtering (CF) purposes might be split between various parties. Integrating such data is helpful for both e-companies and customers due to mutual advantageous. However, due to privacy ...
