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Smoothed normalized counts: To improve data smoothness, moving averages S hij were obtained (see Notation above) from normalized counts and used both to calculate mean and SD for the thresholds, and to compare against the thresholds.
The possible reason behind the underperformance of the Gong [42] approach is the data smoothness assumption that is made for the Gong [42] solution may not be intact for the data sets tested.
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The data spatial smoothness plays a crucial role in assessing the compression amount and quality.
The parameter λ balances fidelity to the data and smoothness of the solution β, and it has to be chosen optimally.
This technique can cause the case counts over time to appear jagged, but because our objective was to ensure a valid comparison between historical and current data, the smoothness of trends over time is irrelevant.
Therefore, we try to find the better compromise between data samples and smoothness.
A good depth choice should be a trade-off between data fit and smoothness of the solution (Slobbe 2013).
The global energy to minimize is composed of two terms: data cost and smoothness constraint, noted and, respectively.
Several studies comparing different data- or smoothness terms for optical-flow exist, for example, those of Bruhn [10] and Brox [11].
The coupled shape prior forces with the help of application-specific data forces and smoothness forces drive a surface deformation towards a desired output surface.
However, our concept is based on the redundancies in the visual data features and smoothness rather than the redundancies in the data precision and machine representation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com