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Using the matching scores and the stolen biohashes, local binary biohashes corresponding to the local face database were calculated, which were used for iterative perceptron learning to estimate the projection parameters.
Gene expression levels based on the analysis of EST database were calculated for 57 different human tissues.
Values for 'available carbohydrates' in the database were calculated from the amount of total carbohydrates calculated 'by difference' after subtraction of dietary fibre content.
For each of 40 query gene expression profiles, the similarities to all of 402 gene expression profiles in search database were calculated.
Coordinates within this database were calculated using a variety of methods including aerial photography, global positioning systems, address matching, 1990 census block and ZIP code centroids.
CBDMQN for SB molecules with less than 17 heavy atoms (HAC ≤ 17) and their nearest neighbor in the GDB-17 database were calculated, giving rise to distance (d) values between d = 2 and d = 11.
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The distance from the example to all the other samples in the database was calculated, thus the total number of distance calculations in test was, where is the number of samples in the database.
The ranges of cumulative values for each database are calculated.
At the last step, the ranges of cumulative values for each database are calculated.
In matching phase, Hamming distance between binary codes of the query iris and irises in database is calculated.
A recharge value in the Hertta Database is calculated based on assumptions that precipitation, the hydrological cycle and porosity of soil are constant over the entire aquifer (The Hertta Database [2012]).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com