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- W1583389465 abstract "The quality of a retrieval system relies to major part on the quality of the used features. The features have to be small and compact, but also discriminative. Feature selection is one way to achieve both goals. We present a new feature selection method with the focus on retrieval purposes. The new method is based on the well known Relief algorithm. The new algorithm is shown to be superior to state-of-the-art methods both on toy problems and real-life 3D-Shape and image retrieval tasks. The algorithm is based on the intuition that distances to false detection has to be enlarged and distances to non-detected positives has to be shortened." @default.
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- W1583389465 date "2006-01-01" @default.
- W1583389465 modified "2023-09-23" @default.
- W1583389465 title "Feature Selection for Retrieval Purposes" @default.
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- W1583389465 doi "https://doi.org/10.1007/11867586_61" @default.
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