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Toplam kayıt 30, 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 ...
Paragraph and sentence level semantic textual similarity measurement techniques: An application on solving OSYM exam questions
(Işık Üniversitesi, 2019-09-06)
An Application on Solving OSYM Exam Questions Semantic textual similarity is a well-known natural language processing (NLP) task which aims to measure the degree of similarity of two texts in terms of meanings. In this ...
Security analysis of coap and dtls protocols for internet of things applications
(Işık Üniversitesi, 2019-08-26)
Internet of Things is a very fast growing area. Its requirements and related technologies are changing from day to day. In Internet of Things, devices can communicate with each other with different messaging protocols. The ...
Rule-based chunking of semantic roles for Turkish
(Işık Üniversitesi, 2018-01-24)
In our work, we approached to semantic role labeling from a different angle. Contrary to related works, which focused on determining single role like noun phrase or predicate, we worked on all of the roles. We claim that, ...