Description: This series of courseware on a pattern recognition system to the basic theory and basic methods. Covers the Bayesian decision-making, the estimated probability density function, linear discriminant function, the neighboring rules, feature selection and extraction, non-supervised learning, neural networks, fuzzy pattern recognition and so on.
File list (Check if you may need any files):
PR00.pdf
PR01.pdf
PR02.pdf
PR03.pdf
PR04.pdf
PR05.pdf
PR06.pdf
PR07.pdf
PR08.pdf
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