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Even the most successful implementations reported cannot guarantee high performance for any kind of datasets.
Different types of gestures are discussed, focusing attention on the kind of datasets (public or private) used to compare results, in order to understand weather they provide a good representation of actual challenging problems, such as: gesture segmentation, idle gesture recognition, and length gesture invariance.
This kind of datasets can be referred to as time series microarray datasets.
This kind of datasets was randomly sampled in a ratio of 1/500 from the entire datasets of the NHI in the year.
One special kind of datasets is the "cohort datasets" which include the claims data of 200,000 persons from 1996 to 2004 (status: November 2005).
Even though both are extremely fast, do not require a comparison profile, and analyze count-data, the Poisson distribution is not adapted to our kind of datasets.
Similar(53)
The spreading concentration is thus not suitable for this kind of dataset.
But, it is a natural characteristics in this kind of dataset.
Hence, a seemingly obvious strategy to avoid such issue is to simply stop any kind of dataset collection.
Initially I thought of a couple of applications, like monitoring webcams, graphical data or watching other kind of dataset that can be expressed through pictures.
Another contribution of this paper is the kind of dataset used in the analysis: instead of using administrative records, I use survey data.
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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