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The EER metric is a powerful metric which allows easily comparing and evaluating biometric systems.
The perception of security is a metric which allows us to differentiate counties based on the responses obtained from the survey.
This performance evaluation includes a metric which allows a visual comparison of the MB mode decision chosen by the decision tree and the MB decision generated by the SVC encoder.
CHORUS uses a search strategy rather than a dimensionality reduction approach and is capable of conducting efficient search of the large combinatorial space because of the unique nature of the PAI metric, which allows for greedy search identification of the most promising combinations by utilizing the marginal effects.
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The numerical validation was based on a newly introduced load independent metric, which allowed to formulate general conclusions.
Based on the understanding of privacy implications of different data types, a privacy relevance metric was proposed which allows to quantitatively assess privacy threats for a given context.
Designs that are defined in the design space are mapped to the attribute space Y, and to the metric space M, which allows for comparison of individual designs in respect to the stress levels in different BEOL via layers.
We introduce a metric "local coverage," which allows the use of inferred inheritance vectors to measure genotype-imputation ability specifically in a region of interest, such as one with prior evidence of linkage.
In [15], a novel system-wide energy-efficient performance metric is proposed, which allows for a completely distributed and convergent power and subcarrier allocation in multi-carrier interference networks.
Further, we give some useful properties of cone metric spaces, which allow us to prove convergence results for Picard iteration with a priori and a posteriori error estimates.
Also, in this paper we present some useful properties of cone metric spaces, which allow us to establish convergence results for Picard iteration with a priori and a posteriori error estimates.
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Justyna Jupowicz-Kozak
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