Yayın tarihi için FBE - Tez Koleksiyonu | Bilgisayar Mühendisliği / Computer Engineering listeleme
Toplam kayıt 73, listelenen: 41-60
-
Data collection and analysis on vanet
(Işık Üniversitesi, 2009-02-01)The communication between devices is provided by wireless networks and it is growing rapidly, dependent on the needs. Wireless networks strike the attention of people throughout the world, and the ad hoc network is part ... -
Weighted bipartite crossing minimization applications on biclustering and graph unions
(Işık Üniversitesi, 2009-02-03)Biclustering gene expression data is the problem of extracting submatrices of genes and conditions exhibiting significant correlation across both the rows and the columns of a data matrix of expression values. We provide ... -
ZOI : a virtual campus platform
(Işık Üniversitesi, 2009-02-13)Virtual Organization (VO) means that two or more diverse systems can exchange and use information. It provides a flexible environment for interoperable applications. Clients are able to access other systems' information ... -
Automatic music transcription
(Işık Üniversitesi, 2010)Computational music research is spread out of the world in many fields. One of these fields is automatic music transcription. During this thesis, we concentrated on the detection of music notes inside an audio signal. We ... -
Neural network based face detection
(Işık Üniversitesi, 2010)One of the challenging problems in computer vision is face detection. The goal of face detection is to locate all regions that contain a face regardless of any three dimensional transformation and lighting condition. There ... -
Navigation of autonomous vehicle in indoor environment
(Işık Üniversitesi, 2011)This study investigates transforming a remote controlled vehicle into an au»tonomous vehicle which explores the environment and is able to find its own location in this unknown static indoor environment. It also constructs ... -
Learning to rank
(Işık Üniversitesi, 2011-04-28)The web has grown so rapidly in the last decade and it brought the need for proper ranking. Learning to rank (LTR) is the collection of machine learning technolo- gies that construct a ranking model using training data. ... -
Unsupervised morphological analysis using tries
(Işık Üniversitesi, 2011-04-29)Morphological analysis or decomposition studies the structure, formation, function of words, identifies the morphemes (smallest meaning-bearing elements) of the language and attempts to formulate rules that model the ... -
Semi-automatic customization for modeling human face
(Işık Üniversitesi, 2012-02-14)Model-based vision has firmly established its roots as a robust approach in rec-ognizing and locating known traits in rigid objects even under the presence of noise, clutter and occlusion. However the application of such ... -
Visual obstacle detection and avoidance for indoor mobile robots
(Işık Üniversitesi, 2012-09-19)This study is a part of a joint team effort to transform a small-scale model car into an autonomous moving robot. This transformation includes several routines that are essential and attached together. Integration of various ... -
Searching for the optimal ordering of classes in rule induction
(Işık Üniversitesi, 2012-09-19)In this thesis, we work on rule induction algorithms, basically Ripper. These algorithms solve a K>2 class problem by transforming it into a sequence ok K-1 two class problems. As a heuristic, these algorithms learn classes ... -
Anatomy based animation of facial expressions
(Işık Üniversitesi, 2012-12-24)This study presents a new physics based facial expression animation system based on anatomic data. Proposed system consists a face model and a new facial expression animation generation algorithm. The proposed system is a ... -
Detecting facial features automatically
(Işık Üniversitesi, 2013-07-02)There are many algorithms and approaches in object detection world. Many of them are based on Viola Jones algorithm. According to our observations, the features which help to detect an object are very critical for the ... -
An hybrid approach to solve traveling salesman problem using genetic algorithm
(Işık Üniversitesi, 2014)TSP is a challenging and popular problem from combinatorial optimization. TSP is often tackled with well known heuristic genetic algorithm. Due to the nature of the TSP, traditional GA's stay poor when competing with other ... -
Improving search engine performance with context extraction using Lucene, DBPedia-Spotlight, and Wordnet
(Işık Üniversitesi, 2014)Search engines are common tools which retrieve information from considerable amount of data according to the user needs. The data size that needs to be handled and retrieving relevant information, are the main problems of ... -
Differentially private attribute selection for classification
(Işık Üniversitesi, 2015-06-18)Any study on processing or analyzing large data sets that contain personally sensitive data should conform against some form of privacy protection mechanism. Otherwise, malicious people can aceess these data sets to extract ... -
Mathematical modeling of human facial muscles
(Işık Üniversitesi, 2015-08-10)In this study; a new muscle model is proposed for computation of actual muscle forces that exist during facial expressions. Modeling of facial muscle forces is done on the expression of surprise. We choose this expression ... -
Fabric defect detection in frequency domain using fourier analysis
(Işık Üniversitesi, 2016)An overwhelming majority of image processing based defect detection approaches rely on machine learning methods to train a model for comparison of test examples. This requires a training phase for each item to be learned ... -
Improved microphone array design with statistical speaker identification methods
(Işık Üniversitesi, 2016-05-17)Conventional microphone array implementations aim to lock onto a source with given location and if required, tracking it. This implementation is straightforward when the location or the path of the sourceand interference ... -
Author identification of newspaper columns using style and semantic features
(Işık Üniversitesi, 2016-05-17)This study has two major purposes : to implement and compare the author classification results of di erent Naive Bayes Classi ers, and to investigate whether merging individual methods will increase classi cation success ...