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In "British Writers of the Thirties," Valentine Cunningham wrote that Mr. Upward would "scarcely be noticeable without his chums' repeated advertisements for his merits and importance".
This process is used to discover new and unknown repeated advertisements by comparing the fingerprints of sample window against those in the Buffer window.
No-one has applied for the job of lollipop man or woman at Broughton Moor Primary School in Allerdale, Cumbria, despite repeated advertisements since January 2011.
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In this paper, an efficient advertisement discovery approach for audio podcasting is proposed to automatically discover and locate repeated advertisement for huge audio podcasting collections.
If we assume the fact that for any frame in the repeated advertisement would have one matched frame in its repetition, we have (9).
In this section, the signal of the candidate segments identified by the candidate segmentation is fingerprinted into nonoverlapping frames for discovery of unknown repeated advertisement.
The advantage of this approach is that after the second occurrence, each repeated advertisement will be added into the Repeated Ad Database and its recurrence will be quickly detected by the detection process.
The most challenging tasks in automatically discovering a repeated advertisement are how to manage buffering efficiently and handle the complexity of the search strategy when dealing with a huge collection data.
Therefore, in order to guarantee that every repeated advertisement will contribute at least one sampled frame into the Sample window, the sampling rate S must satisfy the following constraint: (10).
On average, the proposed candidate segmentation using FCMAC-BYY identifies 38% of the total length of the podcast collection as candidate segments, which are used to search for advertisement by the Repeated Advertisement Detection, and saves over 60% total length as noncandidate segments that do not need to be searched.
Once an advertisement is found by the discovery process, and its locations and boundaries have been identified, the clip can be added to the Repeated Ad Database as known advertisement.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com