Browsing Computer Science by Title
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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 ... -
Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data
(Elsevier, 2014-12-01)The emergence of inexpensive 2.5D depth cameras has enabled the extraction of the articulated human body pose. However, human hand skeleton extraction still stays as a challenging problem since the hand contains as many ... -
High throughput graphics processing unit based Fano decoder
(Elsevier, 2016-11)The next-generation high speed wireless technologies, such as WirelessHD, bring the concept of several Gigabits per second data communication. However, forward error correction that takes place at the receiver side has ... -
High-level features for resource economy and fast learning in skill transfer
Abstraction is an important aspect of intelligence which enables agents to construct robust representations for effective and efficient decision making. Although, deep neural networks are proven to be effective learning ... -
High-level representations through unconstrained sensorimotor learning
(IEEE, 2020-10-26)How the sensorimotor experience of an agent can be organized into abstract symbol-like structures to enable effective planning and control is an open question. In the literature, there are many studies that start by assuming ... -
High-performance complex event processing using continuous sliding views
(ACM, 2013)Complex Event Processing (CEP) has become increasingly important for tracking and monitoring anomalies and trends in event streams emitted from business processes such as supply chain management to online stores in e-commerce. ... -
High-performance low-complexity near-lossless embedded memory compression for HDTV
(2014-08)HDTV video işlemcileri çerçeve hızı değiştirme, binişme giderme ve diğer video iyileştirme işlemlerini yapabilmek için, bir ya da daha fazla geçmiş çerçeveyi hafızada tutmak durumundadır. HD çözünürlüklerde sıkıştırılmamış ... -
High-performance nested CEP query processing over event streams
(IEEE, 2011)Complex event processing (CEP) over event streams has become increasingly important for real-time applications ranging from health care, supply chain management to business intelligence. These monitoring applications submit ... -
HisNet: A polarity lexicon based on WordNet for emotion analysis
(Global Wordnet Association, 2021-01)Dictionary-based methods in sentiment analysis have received scholarly attention recently, the most comprehensive examples of which can be found in English. However, many other languages lack polarity dictionaries, or the ... -
Hi–C interaction graph analysis reveals the impact of histone modifications in chromatin shape
(Springer, 2021-07-17)Chromosome conformation capture experiments such as Hi–C map the three-dimensional spatial organization of genomes in a genome-wide scale. Even though Hi–C interactions are not biased towards any of the histone modifications, ... -
HMM bazlı 3 boyutlu insan hareketi tanıma ile insan ve robotun ortak çalışması
(IEEE, 2014)We offer a system for a human-robot cooperation with natural communication in order to make using of robots in human-interactive tasks easier and more effective. This system includes a system with 3D motion capture cameras, ... -
How to trust a few among many
(Springer International Publishing, 2017)The presence of numerous and disparate information sources available to support decision-making calls for efficient methods of harnessing their potential. Information sources may be unreliable, and misleading reports can ... -
HTTP adaptive streaming over multiple network interfaces
(The ACM Digital Library, 2020-05)Enhancing user experience in streaming applications is an important problem. Delivering the best quality possible for the given network conditions is not an easy task. In the case of a streaming client running in a multi-homed ... -
Human adaptation to human–robot shared control
(IEEE, 2019-04)Human-in-the-loop robot control systems naturally provide the means for synergistic human-robot collaboration through control sharing. The expectation in such a system is that the strengths of each partner are combined to ... -
Human motor adaptation in whole body motion
(2016)The main role of the sensorimotor system of an organism is to increase the survival of the species. Therefore, to understand the adaptation and optimality mechanisms of motor control, it is necessary to study the sensorimotor ... -
Human-in-the-loop control and task learning for pneumatically actuated muscle based robots
(Frontiers Media, 2018-11-06)Pneumatically actuated muscles (PAMs) provide a low cost, lightweight, and high power-To-weight ratio solution for many robotic applications. In addition, the antagonist pair configuration for robotic arms make it open to ... -
Hybrid job scheduling for improved cluster utilization
(Springer Science+Business Media, 2014)In this paper, we investigate the models and issues as well as performance benefits of hybrid job scheduling over shared physical clusters. Clustering technologies that are currently supported include MPI, Hadoop-MapReduce ...
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