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• W2167130990 abstract "In this paper, we provide an overview of fast nearest-neighbor search algorithms based on an `approximation–elimination’ framework under a class of elimination rules, namely, partial distance elimination, hypercube elimination and absolute-error-inequality elimination derived from approximations of Euclidean distance. Previous algorithms based on these elimination rules are reviewed in the context of approximation–elimination search. The main emphasis in this paper is a comparative study of these elimination constraints with reference to their approximation–elimination efficiency set within different approximation schemes." @default.
• W2167130990 created "2016-06-24" @default.
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• W2167130990 date "2000-09-01" @default.
• W2167130990 modified "2023-09-26" @default.
• W2167130990 title "Fast nearest-neighbor search algorithms based on approximation-elimination search" @default.
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• W2167130990 doi "https://doi.org/10.1016/s0031-3203(99)00134-x" @default.
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