feature extraction-classification model
feature extraction-classification model
[′fē·chər ik¦strak·shən ‚klas·ə·fə¦kā·shən ‚mäd·əl] (computer science)
A method of automatic pattern recognition in which recognition is achieved by making measurements on the patterns to be recognized, and then deriving features from these measurements.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.