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The similarity metric is defined as linear combination of single feature space metrics for which the corresponding weights are learned from a group of representative salient blocks using multi-objective optimisation.
The metric is defined in (16).
The metric is defined as follows.
Then the Sibley metric is defined by.
This metric is defined as (9).
For each attribute, a different metric is defined (μ l ).
The maximum error metric is defined as (9).
A metric is defined to compute the distance between phones.
Recall that the Hausdorff metric is defined by (4.1).
A performance metric is defined for efficiency of observations.
Note that the Dice metric is defined for hard memberships.
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CEO of Professional Science Editing for Scientists @ prosciediting.com