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The article presents feature recognition algorithms and the structure of technological features database.
Table 1 Recognition rate using fractal features Database Recognition rate Yale 99.16 ORL 98.33.
By that time, PROSITE and the Features Database had both undergone significant changes: PROSITE had seen 3-fold growth to 1370 entries (release 16.0); meanwhile, the Features Database had grown 40-fold to 1157 entries (release 23.1) and had been renamed 'PRINTS' (4).
The first collection of protein family fingerprints was released in October 1991 as the Features Database, part of the SERPENT information storage and analysis resource for protein sequences established at the University of Leeds (1).
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This features databases such as a bestiary and a gallery of artwork created in development.
To achieve this objective, an experiment design was developed to establish a comprehensive aggregate feature database.
"That clean feature database is just essential.
The feature database contains 38 features of each sample.
Extract features from different subsets and access the subset feature database.
These data (identification code/features) are stored in the feature database.
Hence, texture attributes are stored in a feature database for further characterization by a classification process.
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