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Toplam kayıt 32, listelenen: 21-30
Deep Neural Networks For Named Entity Recognition On Social Media
(Fen Bilimleri Enstitüsü, 2018)
Named entity recognition (NER) on noisy data, specifically user-generated content (e.g. on-
line reviews, tweets) is a challenging task because of the presence of ill-formed text. In this
regard, while studies on ...
Recognıtıon Of Human Interactıons Usıng Hıstogram Of Sequences
(Fen Bilimleri Enstitüsü, 2018-10-08)
In recent years, many techniques have been proposed for recognition of the human interactions in the computer vision literature. To recognize human interactions, spatial and temporal descriptors have been used together. ...
Kaynak Kodlardaki Kötü Kokuların Otomatik Tespiti İçin Eclıpse Eklentisi
(Fen Bilimleri Enstitüsü, 2018)
Code smells in source codes are code fragments that do not prevent the functionality of the developed application, but which reduce code quality, make code maintenance and understandability difficult and require refactoring. ...
Derin Öğrenme Tekniklerini Kullanarak Rgb-D Nesne Tanıma
(Fen Bilimleri Enstitüsü, 2018)
Object recognition is one of the basic and challenging problems of computer vision. With the widespread use of RGB-D sensors such as Microsoft Kinect, which provides rich geometric structured depth data along with RGB ...
Producing Synthetic Person Images with Deep Generative Artificial Neural Networks
(Fen Bilimleri Enstitüsü, 2018)
Producing synthetic person images has wide variety of applications including digital photo sharing and editing, visual surveillance, fashion and art design and human interactive autonomous machines, among others. In the ...
Çok Çekirdekli Mimari Üzerinde Gerçek Zamanlı Görev Zamanlama Ve İletişim Yönetim Algoritmalarının Birlikte Tasarımı
(Fen Bilimleri Enstitüsü, 2018-03)
The reach of processor architectures to physical boundaries has made parallel systems
mandatory in all computer systems used in commercial and academic processes. Parallel
systems are the computer systems in which a large ...
Göz İzleme Donanımı Kullanılarak Web Uygulamalarının Kullanılabı̇lirlik Testlerı̇ İçin İçerı̇k Duyarlı YaklaşIm
(Fen Bilimleri Enstitüsü, 2018)
Eye tracking technology provides eye movement details by tracking movements of pupil of the eye. Eye tracking devices use infrared sensors and specialized cameras to track movements of the pupil. This technology is developed ...
Yazılım Kurumlarında Çevik Dönüşümün Etkilerinin Ölçülmesi Ve Değerlendirilmesi: Deneysel Bir Çalışma
(Fen Bilimleri Enstitüsü, 2018)
Many organizations have started to change their working process from plan-driven to agile in order to leverage the benefits of agile transformation, so it is frequently discussed how adopting agile methodologies affect ...
RGB-D Algılayıcılar Kullanılarak Eş Zamanlı Konum Belirleme ve Haritalama
(Fen Bilimleri Enstitüsü, 2018)
In order to fulfill its mission in an unknown environment, an autonomous mobile
robot needs to create map of the environment and locate itself instantly on the
map at the same time. This problem, called Simultaneous ...
Learning Visual Saliency For Static And Dynamic Scenes
(Fen Bilimleri Enstitüsü, 2018-09-26)
The ultimate aim in visual saliency estimation is to mimic human visual system in predicting image regions which grab our attention. In the literature, many different features and models have been proposed, but still one ...