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An Efficient Randomized Algorithm for Rumor Blocking in Online Social Networks
TLDR
We present a randomized approximation algorithm which is provably superior to the state-of-the art methods with respect to running time. Expand
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Channel aware distributed detection in wireless sensor networks
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Two New Monoterpenes from Mentha haplocalyxBriq.
Two new monoterpenes with a skeleton similar to the 1,8-cineole skeleton, i.e., (1R,4R)-3,3,5-trimethyl-2-oxabicyclo[2.2.2]oct-5-en-4-ol (1) andExpand
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Kernel K-means Based Framework for Aggregate Outputs Classification
TLDR
Aggregate outputs learning is a newly proposed setting in data mining and machine learning. Expand
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Real-time embedded software testing method based on extended finite state machine
TLDR
The reliability of real-time embedded software directly determines the reliability of the whole real- time embedded system, and the effective software testing is an important way to ensure software quality and reliability. Expand
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A Novel Router-based Scheme to Mitigate SYN Flooding DDoS Attacks
Distributed Denial-of-Service (DDoS) attack remains a serious problem on the Internet today, as it takes advantage of the lack of authenticity in the IP protocol, destination oriented routing, andExpand
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A robust generalization of isomap for new data
TLDR
In this paper, we present a robust extension for isomap to efficiently map new samples into the low-dimensional space. Expand
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Real-time data-driven monitoring in job-shop floor based on radio frequency identification
Real-time manufacturing data plays more and more important roles in today’s competitive manufacturing industry; however, many enterprises are still troubled by the lack of this timely, accurate, andExpand
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Variational Random Function Model for Network Modeling
TLDR
We develop a novel variational random function model by defining latent Gaussian processes on exchangeable arrays, in order to model latent interactions of network nodes. Expand
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