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- W2098838667 abstract "Robust regression methods, such as RANSAC, suffer from a sensitivity to the scale parameter used for generating the inlier-outlier dichotomy. Projection based M-estimators (pbM) offer a solution to this by reframing the regression problem in a projection pursuit framework. In this paper we modify the pbM formulation to obtain an improved pbM algorithm. Furthermore, the modified algorithm is easily generalized to handle heteroscedastic data . The superior performance of heteroscedastic pbM, as compared to simple pbM, is experimentally verified." @default.
- W2098838667 created "2016-06-24" @default.
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- W2098838667 date "2006-01-05" @default.
- W2098838667 modified "2023-09-26" @default.
- W2098838667 title "Heteroscedastic Projection Based M-Estimators" @default.
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- W2098838667 doi "https://doi.org/10.1109/cvpr.2005.467" @default.
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