Bölüm "Anadolu Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" WoS İndeksli Yayınlar Koleksiyonu için listeleme
Toplam kayıt 154, listelenen: 41-60
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Edpf: a Real-Time Parameter-Free Edge Segment Detector With a False Detection Control
(World Scientific Publ Co Pte LTD, 2012)We propose a real-time, parameter-free edge/edge segment detection algorithm based on our novel edge/edge segment detector, the edge drawing (ED) algorithm; hence the name edge drawing parameter free (EDPF). EDPF works by ... -
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 ... -
Effects of Inconsistently Masked Data Using RPT on CF with Privacy
(Assoc Computing Machinery, 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 ... -
Efficient Integrity Verification for Outsourced Collaborative Filtering
(IEEE, 2014)Collaborative filtering (CF) over large datasets requires significant computing power. Due to this data owning organizations often outsource the computation of CF (including some abstraction of the data itself) to a public ... -
Enabling peer-to-peer communication for hosts in private address realms using IPv4 LSRR option and IPv4+4 addresses
(Inst Engineering Technology-Iet, 2009)Enabling peer-to-peer (P2P) communication for hosts behind network address translation (NAT) boxes is an important and difficult problem. Existing proposals, for example, UPnP, MIDCOM, TURN, STUN, STUNT, P2PNAT, NATBlaster ... -
An entropy-based neighbor selection approach for collaborative filtering
(Elsevier, 2014)Collaborative filtering is an emerging technology to deal with information overload problem guiding customers by offering recommendations on products of possible interest. Forming neighborhood of a user/item is the crucial ... -
Estimating NBC-based recommendations on arbitrarily partitioned data with privacy
(Elsevier, 2012)Providing partitioned data-based recommendations has been receiving increasing attention due to mutual advantages. In case of limited data, it is not likely to estimate accurate and reliable predictions. Therefore. e-commerce ... -
Estimation of cutting speed in abrasive water jet using an adaptive wavelet neural network
(Springer, 2015)Abrasive water jet cutting has been proven to be an effective technology for processing various engineering materials. To determine the optimal jet traverse rate (cutting speed) in abrasive water jet cutting is not very ... -
An F-Score-Weighted Indoor Positioning Algorithm Integrating WiFi and Magnetic Field Fingerprints
(Hindawi LTD, 2018)Indoor positioning systems have attracted much attention with the recent development of location-based services. Although global positioning system (GPS) is a widely accepted and accurate outdoor localization system, there ... -
Finding the State Sequence Maximizing P(O, I vertical bar lambda) on Distributed HMMs with Privacy
(IEEE, 2009)Hidden Markov models (HMMs) are widely used by many applications for forecasting purposes. They are increasingly becoming popular models as part of prediction systems in finance, marketing, bio-informatics, speech recognition, ... -
Frequent Pattern Mining Over Movie Plot Keywords
(Amer Soc Mechanical Engineers, 2012)In this work we run Mahout's FP-Growth implementation, which is a frequent pattern mining algorithm, on Internet Movie Database (IMDb) movie keywords. Results of mining keyword-keyword relations revealed that there exist ... -
From existing trends to future trends in privacy-preserving collaborative filtering
(Wiley Periodicals, Inc, 2015)The information overload problem, also known as infobesity, forces online vendors to utilize collaborative filtering algorithms. Although various recommendation methods are widely used by many electronic commerce sites, ... -
A Fuzzy Wavelet Neural Network Model for System Identification
(IEEE, 2009)In this paper, a fuzzy wavelet neural network model is proposed for system identification problems. The proposed model is obtained from the traditional Takagi-Sugeno-Kang (TSK) fuzzy system by replacing the consequent part ... -
Fuzzy Wavelet Neural Network Models for Prediction and Identification of Dynamical Systems
(IEEE-Inst Electrical Electronics Engineers Inc, 2010)This paper presents fuzzy wavelet neural network (FWNN) models for prediction and identification of nonlinear dynamical systems. The proposed FWNN models are obtained from the traditional Takagi-Sugeno-Kang fuzzy system ... -
Generalized modeling principles of a nonlinear system with a dynamic fuzzy network
(Pergamon-Elsevier Science LTD, 2003)Generalized modeling principles of a nonlinear system with a dynamic fuzzy network (DFN)-a network with unconstrained connectivity and with dynamic fuzzy processing units called 'feurons', have been given. DFN model has ... -
Guided Navigation Using Query Log Mining through Query Expansion
(IEEE, 2009)We introduce a method to help people to refine their search queries based on other people's similar queries. We compared two different methods of collaborative filtering on search logs of a popular e-commerce site to do ... -
Hybrid feature selection for text classification
(Tubitak Scientific & Technical Research Council Turkey, 2012)Feature selection is vital in the field of pattern classification due to accuracy and processing time considerations. The selection of proper features is of greater importance when the initial feature set is considerably ... -
A Hybrid Fingerprint Based Indoor Positioning with Extreme Learning Machine
(IEEE, 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 ... -
The Impact of Feature Extraction and Selection on SMS Spam Filtering
(Kaunas University Technology, 2013)This paper investigates the impact of several feature extraction and feature selection approaches on filtering of short message service (SMS) spam messages in two different languages, namely Turkish and English. The entire ... -
The impact of preprocessing on text classification
(Elsevier Sci LTD, 2014)Preprocessing is one of the key components in a typical text classification framework. This paper aims to extensively examine the impact of preprocessing on text classification in terms of various aspects such as classification ...