Ara
Toplam kayıt 17, listelenen: 1-10
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 ...
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 ...
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 ...
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 ...
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. ...
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 ...
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 ...
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 ...
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 ...
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 ...