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- W2536698157 abstract "In a variety of detection applications, robust techniques are used to cope with the uncertainty in the statistical model assumed for the data. Traditional methods using /spl epsiv/-contamination classes are often too restrictive. Other techniques require that the nominal densities be Gaussian. This paper proposes Bhattacharyya balls around arbitrary nominal distributions as a flexible yet realistic alternative in uncertainty modeling. We derive probability densities that are least discriminable in the Bhattacharyya metric." @default.
- W2536698157 created "2016-10-28" @default.
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- W2536698157 date "2004-07-08" @default.
- W2536698157 modified "2023-10-16" @default.
- W2536698157 title "Robust detection under brattacharyya metric" @default.
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- W2536698157 doi "https://doi.org/10.1109/ssp.2003.1289561" @default.
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