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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >A TIME-OPTIMAL SOLUTION TO A CLASSIFICATION PROBLEM IN ORDERED FUNCTIONAL DOMAINS, WITH APPLICATIONS
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A TIME-OPTIMAL SOLUTION TO A CLASSIFICATION PROBLEM IN ORDERED FUNCTIONAL DOMAINS, WITH APPLICATIONS

机译:有序功能域中的分类问题的时间最优解及其应用

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摘要

Consider a family C of classifiers represented by continuous functions stored, in discretized form, one function per processor in one column of a mesh with multiple broadcasting of size root n x root n. In a number of contexts in pattern recognition, morphology, and knowledge engineering applications, it is necessary to answer point location queries with respect to the given classifiers. The main contribution of this work is to show that in such a domain a collection of m (1 less than or equal to m less than or equal to n), point location (i.e. classification) queries can be answered in Theta(m/root n) time. As it turns out, this is best possible on this platform. (C) 1997 Pattern Recognition Society. Published by Elsevier Science Ltd. [References: 36]
机译:考虑用离散函数形式存储的连续函数表示的分类器C系列,每个函数在网格的一列中存储每个处理器一个函数,并且广播的大小为根n x根n。在模式识别,形态学和知识工程应用中的许多上下文中,有必要针对给定的分类器回答点位置查询。这项工作的主要贡献是表明,在这样一个域中,一个m(1个小于或等于m小于或等于n)的集合可以在Theta(m / root n)时间。事实证明,在此平台上最好做到这一点。 (C)1997模式识别学会。由Elsevier Science Ltd.发布[参考:36]。

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