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Toplam kayıt 26, listelenen: 1-10
Yüz anotomisine dayalı ifade tanıma
(Tübitak, 2013-03)
Literatürde sunulan geometriye dayalı yüz ifadesi tanıma algoritmaları çoğunlukla araştırmacılar tarafından seçilen nirengi noktalarının devinimlerine veya yüz ifadesi kodlama sistemi (FACS) tarafından tanımlanan eylem ...
Evrisimsel sinir ağları ile rekabetçi derin öğrenme
(Tübitak, 2021-09-15)
İmge üzerinde nesne tanımada, nesnenin imge üzerindeki yeri, açısal yönelimi ve ölçeği algoritmik olarak çözülmesi gereken önemli zorluklardır. Bu zorlukları aşmak için son yıllarda en sık kullanılan ve en başarılı sonuçları ...
Analysis of single image super resolution models
(IEEE, 2022-11-18)
Image Super-Resolution (SR) is a set of image processing techniques which improve the resolution of images and videos. Deep learning approaches have made remarkable improvement in image super-resolution in recent years. ...
Driver recognition using gaussian mixture models and decision fusion techniques
(Springer-Verlag Berlin, 2008)
In this paper we present our research in driver recognition. The goal of this study is to investigate the performance of different classifier fusion techniques in a driver recognition scenario. We are using solely driving ...
The routine design-modular distributed modeling platform for distributed routine design and simulation-based testing of distributed assemblies
(Cambridge University Press, 2008-12-12)
In this paper we describe a conceptual framework and implementation of a tool that supports task-directed, distributed routine design (RD) augmented with simulation-based design testing. In our research, we leverage the ...
Integrating vendors into cooperative design practices
(Taylor & Francis Ltd, 2009)
This paper describes a new approach to cooperative design using distributed, off-the-shelf design components. The ultimate goal is to enable assemblers to rapidly design their products and perform simulations using parts ...
Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty
(Springer, 2022-04-02)
Although state-of-the-art deep neural network models are known to be robust to random perturbations, it was verified that these architectures are indeed quite vulnerable to deliberately crafted perturbations, albeit being ...
TENET: a new hybrid network architecture for adversarial defense
(Springer Science and Business Media Deutschland GmbH, 2023-08)
Deep neural network (DNN) models are widely renowned for their resistance to random perturbations. However, researchers have found out that these models are indeed extremely vulnerable to deliberately crafted and seemingly ...
Unsupervised textile defect detection using convolutional neural networks
(Elsevier Ltd, 2021-12)
In this study, we propose a novel motif-based approach for unsupervised textile anomaly detection that combines the benefits of traditional convolutional neural networks with those of an unsupervised learning paradigm. It ...
Improved microphone array design with statistical speaker verification
(Elsevier Ltd, 2021-04)
Conventional microphone array implementations aim to lock onto a source with given location and if required, tracking it. It is a challenge to identify the intended source when the location of the source is unknown and ...