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The method utilizes locally calculated feature vectors (FVs) in point cloud data.
In this article, the steps of performing one image alignment task consists of capturing the template window from the input image, computing the feature within the window, and feeding the calculated feature into the trained network to get the affine parameters.
Calculated feature values for each image are indicated.
For random forests, one can instead use the calculated feature importance measures to perform feature selection.
To overcome this, we calculated FEATURE vectors for all residues in a non-redundant subset of the PDB – approximately 2 million vectors in all – and clustered them to reveal groups of residues sharing similar microenvironments [ 42].
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Figure 7 presents the following calculated features: Figure 7 Calculated contributions to Δ IPCE.
This is realized on the formerly selected and calculated features of the network traffic.
Features are defined as objects representing a property of a compound, including descriptors and calculated features, endpoints, and predictions.
The weighting functions are designed taking into account the distance between the spatial cue and the calculated features.
To train the prediction model we calculated features from four large-scale biological datasets: protein-protein interactions, co-expression, genetic interactions, conserved protein domains and sequence similarity.
This file contains all data except for the calculated features.
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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