Başlık için Makale Koleksiyonu listeleme
Toplam kayıt 100, listelenen: 21-40
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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 ... -
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 similarity measures on the quality of predictions
(2013)Providing accurate predictions efficiently is vital for the success of recommender systems. There are various factors that might affect the quality of the predictions and online performance. Similarity metric used to ... -
Ekg Sinyallerinin Kaba Kümeler Teorisi Kullanılarak Sınıflandırılması
(2014)Kaba kümeler teorisi (KKT), bulanık kümeler gibi uzman sistemler için analiz ve bilgi çıkarımında kullanılan kural tabanlı bir yöntemdir. Kaba kümeler eksik, tutarsız ve belirsiz veri kümelerini düzenleyerek değerlendirme ... -
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 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 ... -
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 ... -
Feature Selection and Comparison of Classification Algorithms For Intrusion Detection
(2018)The increase in the frequency of use of the Internet causes the attacks on computer networks to increase. Such phenomena also increase the importance of intrusion detection systems. In this paper, KDD Cup 99 dataset is ... -
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, ... -
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 ... -
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 ... -
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 Feature Selection on Urban Land Cover Classification
(2018)Many of the studies in the literature about land cover classification are focused on the feature extraction and classification rather than feature selection. In this paper, the impact of feature selection on urban land ... -
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 ... -
The Impact of Text Representation and Preprocessing on Author Identification
(2017)Author identification, one of the popular topics in text classification and natural language processing, basically aims to determine the author of a given text through various analyses. In the literature, different text ...