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- W788490865 abstract "A technique for the adaptive estimation of nonstationary statistics necessary for Bayesian classification is developed. The basic approach to the adaptive estimation procedure consists of two steps: (1) an optimal stochastic approximation of the parameters of interest and (2) a projection of the parameters in time or position. A divergence criterion is developed to monitor algorithm performance. Comparative results of adaptive and nonadaptive classifier tests are presented for simulated four dimensional spectral scan data." @default.
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- W788490865 date "1975-06-01" @default.
- W788490865 modified "2023-09-24" @default.
- W788490865 title "Adaptive statistical pattern classifiers for remotely sensed data" @default.
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