Browsing Electronic Engineering and Computer Science by Title
Now showing items 2305-2324 of 3241
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Primal and dual algorithms for optimization over the efficient set
(2018-10-03)© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. Optimization over the efficient set of a multi-objective optimization problem is a mathematical model for the problem of selecting a most preferred ... -
Printable all-dielectric water-based absorber
(2018-09-27) -
PRISM: An Experiment Framework for Straggler Analytics in Containerized Clusters
(2019-12-09)Containerized clusters of machines at scale that provision Cloud services are encountering substantive difficulties with stragglers – whereby a small subset of task execution negatively degrades system performance. Stragglers ... -
Privacy as a Feature for Body-Worn Cameras
(IEEE, 2020-06)In this article, we discuss the threat to privacy that this passive data collection creates, along with opportunities to mitigate this risk. Furthermore, we argue that the use case of BWCs at work will stimulate the ... -
Privacy-Aware Human Activity Recognition From a Wearable Camera: Highlights From the IEEE Video And Image Processing Cup 2019 Student Competition
(IEEE, 2020-05)Presents highlights from the IEEE Video and Image Processing Cup 2019 Student Competition. -
A privacy-preserving consensus mechanism for an electric vehicle charging scheme
(Elsevier, 2020-11-15)The increasing adoption of Electric Vehicles (EVs) brings opportunities for electric power transactions for users to be able to trade their excess electricity. Blockchain technology is envisaged as an electricity exchange ... -
PrivacyCAT: Privacy-Aware Code Analysis at Scale
(2024-04-17) -
PrivEdge: From Local to Distributed Private Training and Prediction
(IEEE, 2020)Machine Learning as a Service (MLaaS) operators provide model training and prediction on the cloud. MLaaS applications often rely on centralised collection and aggregation of user data, which could lead to significant ... -
Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints
(AUAI Press Arlington, Virginia, United States, 2015-07-13) -
Probabilistic graphical models parameter learning with transferred prior and constraints
(2015-01-01)Learning accurate Bayesian networks (BNs) is a key challenge in real-world applications, especially when training data are hard to acquire. Two approaches have been used to address this challenge: 1) introducing expert ... -
Probabilistic Induction for an Incremental Semantic Grammar
(Association for Computational Linguistics, 2013-03) -
Probabilistic Modeling Paradigms for Audio Source Separation
(IGI Global, 2011)Most sound scenes result from the superposition of several sources, which can be separately perceived and analyzed by human listeners. Source separation aims to provide machine listeners with similar skills by extracting ... -
Probabilistic Record Type Lattices for Incremental Reference Processing
(Springer International Publishing, 2017-02)This chapter addresses the issue of incorporating probabilistic type-theoretic inference into an incremental dialogue framework, using processing of referring expressions (that is, their interpretation and generation) as ...