Sentence examples for a more complex transformation from inspiring English sources

Exact(1)

For an entire image (a larger window), a more complex transformation is required other than only rotation to align the entire image (a larger descriptor).

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Again, a simple additive term proved to be as efficient in predicting GFR as any more complex transformations, giving rise to a refined model (GFR=36.76+1.91 × Wt−0.47 × SCr).

In contrast, antisaccades, saccades in opposite direction of a peripheral target, require more complex transformation processes due to the inversion of the spatial vector.

From a Minkowski space standpoint, however, the spannors involve a nontrivial action of space-time translations that deforms into a trivial action in the spinor limit and also have more complex transformation properties under discrete symmetries.

However, as SDIs mature and the need for more complex transformation processes increases, generalization provides appropriate tools for supporting complex transformations for the integration of different data at different scales.

And if more complex transformation such as three-order polynomial transformation is used, more general distortions can also be removed.

For example, SBML models in BioModels Database can be converted into OWL or RDF representations, using straight forward to more complex transformation methods (51, 56 58).

This work demonstrates the power of ruthenium-catalyzed alkenylation as a platform reaction to develop more complex transformations, with multiple C H functionalization steps taking place in a single operation to access novel carbocyclic structures.

Cr-EDTA clearance was strongly correlated to body size, with a simple additive model (16.25+1.67 × Wt) proving to be as good a fit as that obtained using more complex transformations of BSA and weight.

Besides defining a simple mapping from columns to data items within VLN SEEK, more complex transformations were required in cases where multiple data items were aggregated into single columns, or where information was only available implicitly in column headers.

Descriptors have no such purpose, because there is very little to be done with them if there is no further information available about the type of the mathematical relationship (e.g. linear or nonlinear), pre- and post-processing (e.g. normalization, more complex transformations), etc.

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