Browsing Computer Science by Title
Now showing items 220-239 of 549
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Game of streaming players: Is consensus viable or an illusion?
(Association for Computing Machinery, Inc, 2019-08)The dramatic growth of HTTP adaptive streaming (HAS) traffic represents a practical challenge for service providers in satisfying the demand from their customers. Achieving this in a network where multiple players share ... -
Game theory based bitrate adaptation for Dash.Js reference player
(IEEE, 2018-11-28)Most existing DASH adaptive bitrate (ABR) schemes are designed to behave in their own self-interest and do not perform consistently in all network environments. In this work, we provide a practical implementation, materials ... -
Gauss karışım modeli tabanlı konuşmacı belirleme sistemlerinde klasik MAP uyarlanması yönteminin performans analizi
(IEEE, 2010)Gaussian mixture models (GMM) is one of the most commonly used methods in text-independent speaker identification systems. In this paper, performance of the GMM approach has been measured with different parameters and ... -
Gauss karışım modeli tabanlı konuşmacı doğrulama sistemlerinde kişiye ve kanala uyarlanmada klasik MAP tabanlı yöntemlerin performans analizi
(IEEE, 2011)In this paper, performance of Gaussian mixture models (GMM) based algorithms implemented in Speech Processing Laboratory at Ozyegin University, within NIST SRE2004 and 2006 database was reported. Gaussian mixture models ... -
Geçmişe dönük hata tespit oranlarının zamanla değişen etkisine göre regresyon testlerinin önceliklendirilmesi
(CEUR-WS, 2014)Büyük ölçekli yazılım sistemlerinin regresyon testleri masraflıdır. Kaynak kısıtları sebebiyle genellikle tüm test durumlarını değerlendirmek mümkün olmamaktadır. Dolayısıyla, hataları mümkün olan en kısa sürede tespit ... -
A general-purpose protocol for multi-agent based explanations
(Springer, 2023)Building on prior works on explanation negotiation protocols, this paper proposes a general-purpose protocol for multi-agent systems where recommender agents may need to provide explanations for their recommendations. The ... -
Generalization to unseen viewpoint images of objects via alleviated pose attentive capsule agreement
(Springer, 2023-02)Despite their achievements in object recognition, Convolutional Neural Networks (CNNs) particularly fail to generalize to unseen viewpoints of a learned object even with substantial samples. On the other hand, recently ... -
A generalized stereotype learning approach and its instantiation in trust modeling
(Elsevier, 2018-08)Owing to the lack of historical data regarding an entity in online communities, a user may rely on stereotyping to estimate its behavior based on historical data about others. However, these stereotypes cannot accurately ... -
Generating runtime verification specifications based on static code analysis alerts
(ACM, 2017)Runtime verification techniques verify dynamic system behavior with respect to a set of specifications. These specifications are often created manually based on system requirements and constraints. In this paper, we introduce ... -
Genetic algorithms and heuristics hybridized for software architecture recovery
(Springer, 2023-06-26)Large scale software systems must be decomposed into modular units to reduce maintenance efforts. Software Architecture Recovery (SAR) approaches have been introduced to analyze dependencies among software modules and ... -
Girişim bulunan IEEE 802.11ac aǧlarda TCP sıkışıklık denetim algoritmalarinin başarımları
(IEEE, 2016)In order to meet the incremental requirements from clients, fifth generation Wireless Local Area Network(WLAN) protocol IEEE 802.11ac provides a lot more throughput than his predecessors. However, in all distributed channel ... -
Goal directed policy conflict detection and prioritisation: an empirical evaluation
(Springer Science+Business Media, 2014)We address the problem of developing effective automated reasoning support for the detection and resolution of conflicts between plans and policies (or norms). How automated reasoning mechanisms can effectively support ... -
Guest editorial special issue on continual unsupervised sensorimotor learning
(IEEE, 2021-06)The pursuit of higher levels of autonomy and versatility in robotics is arguably led by two main factors. First, as we push robots out of the labs and production lines, it becomes increasingly challenging to design for all ... -
Guest editorial trustworthiness in social multimedia analytics and delivery
(IEEE, 2019-03)The papers in this special issue focus on trustworthiness in multimedia communications. Recently, social multimedia content is being delivered to users with a high quality of experience (QoE) with the advance of multimedia ... -
Guiding architects in selecting architectural evolution alternatives
(Springer Science+Business Media, 2011)Although there exist methods and tools to support architecture evolution, the derivation and evaluation of alternative evolution paths are realized manually. In this paper, we introduce an approach, where architecture ... -
Handling epistemic and aleatory uncertainties in probabilistic circuits
(Springer, 2022-04)When collaborating with an AI system, we need to assess when to trust its recommendations. If we mistakenly trust it in regions where it is likely to err, catastrophic failures may occur, hence the need for Bayesian ... -
Hareketli kameralarda örtücü tespiti
(IEEE, 2012)In this work, we propose a novel method for detection of moving or static objects which are not part of the background in an image sequence captured by a moving camera. The method is composed of two stages, namely, ... -
Hareketten yapı çıkarımı için görsel kullanıcı arayüzü
(IEEE, 2014)The usage of computer vision applications such as 3D reconstruction, motion tracking and augmented reality gradually increases. The first and the most important stage of these kind of applications is estimating the 3D scene ... -
Head-motion-aware viewport margins for improving user experience in immersive video
(ACM, 2022-01-10)Viewport-dependent delivery (VDD) is a technique to save network resources during the transmission of immersive videos. However, it results in a non-zero motion-to-high-quality delay (MTHQD), which is the delta time from ... -
Hierarchical mixtures of generators for adversarial learning
Generative adversarial networks (GANs) are deep neural networks that allow us to sample from an arbitrary probability distribution without explicitly estimating the distribution. There is a generator that takes a latent ...
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