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- W3147890257 abstract "The problem of quantizer design for detection or classification has a long history, with classical contributions by Kassam ,Poor, Picinbono, Bucklew and others . The goal was to design a quantizer such that a detection rule based on the quantize dinformation was optimized . During recent years an alternative approach has been developed which seeks to jointly optimiz equantization and classification by incorporating the Bayes risk resulting from the quantizer into the quantizer optimization .In this paper the general classical approach of Picinbono and Duvaut is compared contrasted with the joint approach an dillustrated by a simple example ." @default.
- W3147890257 created "2021-04-13" @default.
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- W3147890257 date "1998-01-01" @default.
- W3147890257 modified "2023-09-23" @default.
- W3147890257 title "09 - Quantization and classification" @default.
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