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Note that our proposed framework will utilize both of the feature spaces in the form of regularization terms, to detect advertisements of high interest to law enforcement.
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The clues used to detect advertisement are not always reliable for general applications.
The learning (training) data set is then selected from these detected advertisements to train our FCMAC-BYY classifier.
By using the Repeated Ad Database to store detected advertisements, our SSS approach could limit the search to a finite distance of the length of the Buffer window.
Thus, the ISPs can detect selective advertisements of deaggregated prefixes, and thus identify customers which impact the business of their providers.
In this article, expanding on our previous work [15], we use the data crawled from the adult entertainment section of the website Backpage.com and extend the existing Laplacian SVM framework [14] to detect escort advertisements of high interest to law enforcement.
The first one, detection-based approach, makes use of given clues or particular features of certain classes of the advertisement, such as black/silent frames and difference on audio volume, to detect and locate advertisements [2 4].
This paper introduces a novel Sampled and Skipping Search approach to discover and detect unknown podcast advertisements for large podcasting collections efficiently.
A competition, offering viewers a chance to win tickets to the film whenever the social platform Zeebox detected the advertisement airing, was launched on that site.
The fingerprints are then compared to detect recurrence of known advertisements.
One point that needs to be clarified is, our ultimate goal is not to achieve high performance on the labeled data, but rather to detect the suspicious (unlabeled) advertisements which could be human trafficking related this will be explained in more details in "Blind evaluation".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com