Güncel Gönderiler: Bildiri Koleksiyonu
Toplam kayıt 113, listelenen: 101-113
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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 ... -
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 ... -
Comparison of Three Search Algorithms for Mobile Trip Planner for Eskisehir City
(IEEE, 2015)The comparison of three searching algorithms; A*, Ant Colony Optimization and Genetic Algorithms to solve the Traveler Salesman Problem for a mobile trip planning application for Eskisehir City, Turkey, is presented in ... -
The Comparison of A* Algorithm and Ant Colonial Optimization for Mobile Traveler Application
(IEEE, 2015)In this paper, a route planning application has been developed for mobile devices. The goal was to select the algorithm that computes the route in the shortest amount of time. To this end, a database containing information ... -
A Comparison of Relational Databases and Information Retrieval Libraries on Turkish Text Retrieval
(IEEE, 2008)The present work covers a comparison of the text retrieval performances of relational databases and IR Systems over a TREC-like test collection for Turkish. The effects of language specific preprocessing and different query ... -
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 ... -
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 ... -
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, ... -
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 ... -
CannySR: Using Smart Routing of Edge Drawing to Convert Canny Binary Edge maps to Edge Segments
(IEEE, 2015)Canny Edge Detector is the most widely used operator for edge detection. The problem with Canny is that it outputs a binary edge map, where an edge pixel (edgel) is marked ( e. g., its value in the edge map is 255) and a ... -
Document Embedding Approach for Efficient Authorship Attribution
(IEEE, 2017)Authorship attribution has been well studied in terms of text classification with many diverse feature sets. However, finding topic independent features is hard and trained models with hand crafted features in one domain ...
