Yayıncı "IEEE" Bilgisayar Mühendisliği Bölümü için listeleme
Toplam kayıt 44, listelenen: 1-20
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A 3D Lifting Based Motion Compensation Augmented Video Coder
(IEEE, 2009)This study introduces a video compression method that uses spatio - temporal lifting based algorithms to compress the video signals. The temporal correlation of consecutive frames causes temporal redundancies, which are ... -
An Adaptive Fuzzy Wavelet Neural Network with Gradient Learning Algorithm For Nonlinear Function Approximation
(IEEE, 2013)In this paper a new adaptive fuzzy wavelet neural network (AFWNN) model is proposed for nonlinear function approximation problems. The AFWNN model is a Takagi-Sugeno-Kang (TSK) fuzzy system in which the membership functions ... -
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 ... -
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 ... -
Circular Traffic Sign Recognition empowered by Circle Detection Algorithm
(IEEE, 2013)Automatic traffic sign detection and recognition is one of the most important components of advanced driver assistance systems. In this paper, a novel method utilizing histograms of oriented gradients based features together ... -
Classification of Medical Documents According to Diseases
(IEEE, 2015)Medical text classification is still one of the popular research problems inside text classification domain. Apart from some text data compiled from hospital records, most of the researchers in this field evaluate their ... -
Classifier Selection for RF Based Indoor Positioning
(IEEE, 2015)The selection of appropriate classifier is of great importance in improving the positioning accuracy and processing time for indoor positioning. In this work, an extensive analysis is carried out to determine the most ... -
A Comparative Study on Machine Learning Algorithms for Indoor Positioning
(IEEE, 2015)Fingerprinting based positioning is commonly used for indoor positioning. In this method, initially a radio map is created using Received Signal Strength (RSS) values that are measured from predefined reference points. ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Dynamic Fuzzy System Design for Modeling and Control of Nonlinear Dynamical Processes
(IEEE, 2015)This paper introduces the architecture and learning procedure of dynamic fuzzy system (DFS) and its control application with linear quadratic regulator (LQR). Our DFS model is a Takagi-Sugeno type fuzzy system. IF parts ... -
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: 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 ... -
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, ... -
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 ... -
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, ...