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To reduce the computational costs of the numerical simulations, we use mixed lattice Boltzmann models, constructed using different quadrature methods on each Cartesian axis.
Tables 2 and 3 demonstrate the average center error and overlap rate of different tracking methods on each sequence.
Although often characterized as a debate between inductivism and hypothetico-deductivism, the role of the two methods on each side is actually more complex.
To further examine the robustness of the FR-IQA schemes, we compare the performance of our method with other methods on each distortion type in TID2013 and TID2008 databases.
Imputing the missing data leads to the database, called the "imputed database", appearing to be complete, and allows researchers to apply complete-data-based methods on each of the M imputed datasets.
We executed the three methods on each database (DB) with two given minimum supports MS and confidences MC and noted the average running times of ten constraint pairs, (T_MaxSC_1 DB,MS,MC)), (T_MaxSC_2 DB,MS,MC)) and (T_MaxSC DB,MS,MC)), called (T_MaxSC_1), (T_MaxSC_2) and (T_MaxSC).
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Alternatively, given a known topology for a species tree one could iteratively perform this method on each (external) branch of the species tree to try to detect possible hybridization events across closely related species.
Willrich writes: They followed the same method on each block.
They apply a summarization method on each tweet, and use time intervals to separate events.
Using the Exposed Aggregates Index (EAI) method on each photo, the aggregates surface occupation is determined by the supervised classification of the RGB photo dataset using the parallelepiped method.
To reduce the absolute cost of the method also in the non-asymptotic regime, it is equally important to choose the best possible numerical timestepping method on each level.
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