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First, we mapped the original gray scale image to a feature space called a "particle probability map", using a particle filter with Haar-like features (Yang et al., 2010; Yang et al., 2012).
Second, we mapped the original short reads to the newly created PUTs which was used as a reference.
We mapped the original ESTs on the extracted genomic sequences with SIM4 (A = 4, P = 1) to extract the alignment and splice site information.
Using our consensus transcriptome as a reference, we mapped the original short sequence reads for each sample with the software bwa-0.5.7.
For each sample we mapped the original short reads, trimmed using the base qualities as outlined above, to the consensus transcriptome using the Burrows-Wheeler Aligner (BWA) version 0.5.7 [ 31].
In our experiment, LS-SVM mapped the original input space into a high dimension feature space by a Gaussian kernel and then learns a smoothest hyperplane to fit the training data.
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Corrected CMB averages and CVs were regionalized by ordinary kriging using the same 10 km × 10 km 4976-nodes grid used for mapping the original CMB components.
Calculate the remaining capacities of the physical nodes and links after mapping the original virtual network.
After mapping the original graph to the virtual subgraph, we can easily find the shortest path from source to destination applying one of shortest path algorithms[24].
However, additional benefits sought after from mapping the original pattern data into a feature space is to simplify the similarity measure deployed for decision making.
The basic idea of KPCA is mapping the original dataset into a high-dimensional feature space where PCA is used to establish a linear relationship.
More suggestions(15)
formulated the original
accomplished the original
estimated the original
documented the original
compiled the original
evaluated the original
measured the original
planned the original
mapped the human
mapped the whole
mapped the spatial
mapped the geographical
mapped the historic
mapped the aesthetic
mapped the remnant
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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