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- W3182772073 abstract "A method for predicting probability characteristics for algorithms of supervised classification of multichannel images is proposed. Implementation of quasi-Bayesian image recognition strategy in conditions of incomplete a priori information about a satellite image is considered. Total weighted probability of correct class recognition is taken as a criterion of effectiveness of decision rule. Weights are interpreted as estimates of a priori probability for occurrence of precedents of the corresponding classes. The procedure for estimating a priori probabilities of classes by Monte Carlo method based on the results of fuzzy classification of samples with fixed size is described; the empirical dependence of the relative error of estimates on the sample size is given." @default.
- W3182772073 created "2021-07-19" @default.
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- W3182772073 date "2020-10-06" @default.
- W3182772073 modified "2023-10-16" @default.
- W3182772073 title "Methods for Predicting Multichannel Images Classification Efficiency" @default.
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- W3182772073 doi "https://doi.org/10.1109/picst51311.2020.9468002" @default.
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