Browsing Computer Science by Author "Özyeğin University"
Now showing items 441-460 of 546
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SAS : A speaker verification spoofing database containing diverse attacks
Wu, Z.; Khodabakhsh, Ali; Demiroğlu, Cenk; Yamagishi, J.; Saito, D.; Toda, T.; King, S. (IEEE, 2015)This paper presents the first version of a speaker verification spoofing and anti-spoofing database, named SAS corpus. The corpus includes nine spoofing techniques, two of which are speech synthesis, and seven are voice ... -
SDNHAS: An SDN-Enabled architecture to optimize qoe in http adaptive streaming
Bentaleb, A.; Beğen, Ali Cengiz; Zimmermann, R.; Harous, S. (IEEE, 2017-10)HTTP adaptive streaming (HAS) is receiving much attention from both industry and academia as it has become the de facto approach to stream media content over the Internet. Recently, we proposed a streaming architecture ... -
SeCaS: Secure capability sharing framework for IoT devices in a structured P2P network
Aktypi, A.; Çakmakçı, Kübra Kalkan; Rasmussen, K. B. (The ACM Digital Library, 2020-03-16)The emergence of the internet of Things (IoT) has resulted in the possession of a continuously increasing number of highly heterogeneous connected devices by the same owner. To make full use of the potential of a personal ... -
Self-discovery of motor primitives and learning grasp affordances
Uğur, E.; Şahin, E.; Öztop, Erhan (IEEE, 2012)Human infants practice their initial, seemingly random arm movements for transforming them into voluntary reaching and grasping actions. With the developing perceptual abilities, infants further explore their environment ... -
Semantic reasoning with uncertain information from unreliable sources
Şensoy, Murat; Kaplan, L.; de Mel, G. (Springer International Publishing, 2016)Intelligent software agents may significantly benefit from semantic reasoning. However, existing semantic reasoners are based on Description Logics, which cannot handle vague, incomplete, and unreliable knowledge. In this ... -
Sequential decision making based on emergent emotion for a humanoid robot
Kirtay, M.; Vannucci, L.; Falotico, E.; Öztop, Erhan; Laschi, C. (IEEE, 2017)Certain emotions and moods can be manifestations of complex and costly neural computations that our brain wants to avoid. Instead of reaching an optimal decision based on the facts, we find it often easier and sometimes ... -
Sesli̇ yanıt si̇stemi̇ çaǧrı akışında di̇lbi̇lgi̇si̇ tabanlı Türkçe konuşma tanıma si̇stemi̇ tanıtımı
Karagöz, Gün; Demiroğlu, Cenk (IEEE, 2012)Bu bildiride, çağrı merkezleri için kullanılan sesli yanıt sisteminde dilbilgisi-tabanlı Türkçe konuşma tanıma sistemi anlatılmaktadır. Yapılan çalışmada bir telekomünikasyon kurumunun çağrı merkezi sisteminin örneklemesi ... -
Seyrek matris-vektör çarpımı için koşut zamanda özelleşmi̇ş kod üreti̇mi̇ ve deneysel opti̇mi̇zasyon
Aktemur, Tankut Barış; Yıldız, Asım; Kamin, S. (IEEE, 2012)Bu çalışmada seyrek matris-vektor çarpımı için matris içeriğine göre özelleşmiş, yüksek hızlı program üretimi yapan bir kütüphane tasarımı anlatılmaktadır. Kütüphane sinyal işleme uygulamaları, bilimsel hesaplamalar, sonlu ... -
SHACL constraints with inference rules
Pareti, P.; Konstantinidis, G.; Norman, T. J.; Şensoy, Murat (Springer Nature, 2019)The Shapes Constraint Language (SHACL) has been recently introduced as a W3C recommendation to define constraints that can be validated against RDF graphs. Interactions of SHACL with other Semantic Web technologies, such ... -
A shared control method for online human-in-the-loop robot learning based on Locally Weighted Regression
Peternel, L.; Öztop, Erhan; Babič, J. (IEEE, 2016)We propose a novel method that arbitrates the control between the human and the robot actors in a teaching-by-demonstration setting to form synergy between the two and facilitate effective skill synthesis on the robot. We ... -
Shonan challenge for generative programming: short position paper
Aktemur, Tankut Barış; Kameyama, Y.; Kiselyov, O.; Shan, C.-C. (ACM, 2013)The appeal of generative programming is "abstraction without guilt": eliminating the vexing trade-off between writing high-level code and highly-performant code. Generative programming also promises to formally capture the ... -
Shoulder glenohumeral elevation estimation based on upper arm orientation
Hamdan, Sara; Öztop, Erhan; Furukawa, J.-I.; Morimoto, J.; Uğurlu, Regaip Barkan (IEEE, 2018-10-26)In this paper, the shoulder glenohumeral displacement during the movement of the upper arm is studied. Four modeling approaches were examined and compared to estimate the humeral head elevation (vertical displacement) and ... -
SiameseFuse: A computationally efficient and a not-so-deep network to fuse visible and infrared images
Özer, Sedat; Ege, M.; Özkanoglu, M. A. (Elsevier, 2022-09)Recent developments in pattern analysis have motivated many researchers to focus on developing deep learning based solutions in various image processing applications. Fusing multi-modal images has been one such application ... -
Simultaneous human-robot adaptation for effective skill transfer
Zamani, Mohammad Ali; Öztop, Erhan (IEEE, 2015)In this paper, we propose and implement a human-in-the loop robot skill synthesis framework that involves simultaneous adaptation of the human and the robot. In this framework, the human demonstrator learns to control the ... -
The sixth automated negotiating agents competition (ANAC 2015)
Fujita, K.; Aydoğan, Reyhan; Baarslag, T.; Hindriks, K.; Ito, T.; Jonker, C. (Springer Nature, 2017)In May 2015, we organized the Sixth International Automated Negotiating Agents Competition (ANAC 2015) in conjunction with AAMAS 2015. ANAC is an international competition that challenges researchers to develop a successful ... -
A small footprint hybrid statistical and unit selection text-to-speech synthesis system for Turkish
Güner, Ekrem; Demiroğlu, Cenk (Springer Science+Business Media, 2012)Unit selection based text-to-speech synthesis (TTS) can generate high quality speech. However, The HMM-based text-to-speech (HTS) has also advantages such as the lack of spurious errors that are observed in the unit selection ... -
A small footprint hybrid statistical/unit selection text-to-speech synthesis system for agglutinative languages
Güner, Ekrem; Demiroğlu, Cenk (IEEE, 2012)Despite its success, unit selection based text-to-speech synthesis (TTS) has has some disadvantages such as sudden discontinuities in speech that distract the listeners. The HMM-based TTS (HTS) approach has been increasingly ... -
A smart cloud platform service for socialized travel and transportation with mobile support
Yazıcı, Yaprak Ayazoğlu (2013-09)It is now clear that social networking services are evolving towards mobile web applications and continuous location sharing is also becoming a trend. In this evolution, we believe that the next step will be complete and ... -
Smart job scheduling for high-performance cloud computing services
Muhtaroğlu, Nitel; Arı, İsmail (Civil-comp, 2011-01)In this paper, we describe the challenges faced and lessons learned while establishing a large-scale high performance cloud computing service that enables online mechanical structural analysis and many other scientific ... -
SOBE: Source behavior estimation for subjective opinions In multiagent systems
Şensoy, Murat; Kaplan, L.; Mel, G. de; Gunes, Taha Doğan (International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2016)In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources of these opinions may not always be competent and honest but more likely erroneous or even ...
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