Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 216, listelenen: 50-69
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Early detection of breast cancer using mathematical morphology
(Springer-Verlag Berlin, 2004)In this paper a method for detection of microcalcifications (MCCs), which appear at the beginning stages of breast cancer, is presented by using mathematical morphology. This method consists of four steps. At the first ... -
ECG Based Biometric Authentication Using Ensemble of Features
(IEEE, 2014)In this work, the efficacy of various features on electrocardiogram (ECG) based biometric authentication process is thoroughly examined. In particular, the features acquired from temporal analysis, wavelet transformation, ... -
EDCircles: A real-time circle detector with a false detection control
(Elsevier Sci LTD, 2013)We propose a real-time, parameter-free circle detection algorithm that has high detection rates, produces accurate results and controls the number of false circle detections. The algorithm makes use of the contiguous ... -
Edcircles: Real-Time Circle Detection By Edge Drawing (Ed)
(IEEE, 2012)We propose a real-time, parameter-free circle detection algorithm that produces accurate results with very few false positives. The algorithm makes use of the contiguous (connected) set of edge segments produced by our ... -
Edcontours: High-Speed Parameter-Free Contour Detecton Using Edpf
(IEEE, 2012)We present a high-speed contour detector, which we name EDContours, that works by running our real-time parameter-free edge segment detector, Edge Drawing Parameter Free (EDPF), at different scale-space representations of ... -
Edge Drawing: A combined real-time edge and segment detector
(Academic Press Inc Elsevier Science, 2012)We present a novel edge segment detection algorithm that runs real-time and produces high quality edge segments, each of which is a linear pixel chain. Unlike traditional edge detectors, which work on the thresholded ... -
Edge drawing: A heuristic approach to robust real-time edge detection
(2010)We propose a new edge detection algorithm that works by computing a set of anchor edge points in an image and then linking these anchor points by drawing edges between them. The resulting edgemap consists of perfect ... -
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 ... -
Edlines: Real-Time Line Segment Detection By Edge Drawing (Ed)
(IEEE, 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 detection algorithm in the literature; namely, ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...