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We’ve all experienced two hugely frustrating things on YouTube: our video either suddenly gets pixelated, or it stops entirely to rebuffer.Both happen because of special algorithms that break videos i...
We solicit original and unpublished work not currently under review by any other journal/magazine/conference. All papers will be reviewed by the HWNQoS-2017 Program Committee for significance, origina...
A smart city integrates information and communication technologies, as well as Internet of Things (IoT) solutions to reduce costs and resource consumption, enhance performance, and connect and engage ...
The First IFIP/IEEE International Workshop on Quality of Experience Management (QoE-Management) will be held May 8th 2017 in conjunction with IFIP/IEEE IM 2017 in Lisbon, Portugal. Building on the suc...
We present Soft Scissors, an interactive tool for extracting alpha mattes of foreground objects in realtime. We recently proposed a novel offline matting algorithm capable of extracting high-quality...
The security of any cryptosystem relies on the secrecy of the system's secret keys. Yet, recent experimental work demonstrates that tens of thousands of devices on the Internet use RSA and DSA secrets...
Matrix Factorization techniques have been successfully applied to raise the quality of suggestions generated by Collaborative Filtering Systems (CFSs). Traditional CFSs based on Matrix Factorization o...
Signal Quality Monitoring (SQM) algorithms propose to detect anomalous GPS signal distortions primarily through the use of multicorrelator SQM receivers. However, currently no augmentation systems (e....
Assessing a network's vulnerability to attack and random failure is a difficult and important problem that changes with network application and representation. We furnish algorithms that bound the rob...
Embedded real time applications are often subject to time and energy constraints. Real time applications are usually characterized by logically separable set of tasks with precedence constraints. The ...
In this paper, we propose a two-stage transcription task design for crowdsourcing with an automatic quality control mechanism embedded in each stage. For the first stage, a support vector machine (SVM...
While their coverage is adequate for many applications, due to the Earth's curvature and terrain induced blockage, today's operational long-range weather surveillance radar networks lack the capabilit...
We describe a systematic analysis on the effectiveness of features commonly exploited for the problem of predicting machine translation quality. Using a feature selection technique based on Gaussian P...
Annotating linguistic data is often a complex, time consuming and expensive endeavour. Even with strict annotation guidelines, human subjects often deviate in their analyses, each bringing different b...
Quality estimation models provide feedback on the quality of machine translated texts. They are usually trained on humanannotated datasets, which are very costly due to its task-specific nature. We in...

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