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Manner and the system of the pattern recognition which is based on tree configuration probability density

机译:基于树型概率密度的方式和模式识别系统

摘要

(57) Abstract Making use of this manner and the system, pattern (20) you recognize the continuation like sound the time when easy it fetches from the physical amount consecutively it does with. This system accesses the physical amount and the entry means which generate the entry observation vector string (30) has. Entry observation vector displays input configuration. The reference pattern which consists of the standard unit string the reference pattern database (40) of making use is stored. Each standard unit is displayed by the standard probability density which it is related. You display the tupple of the standard probability density which it is related toribiiruda (60) concerning each standard unit as tree structure. Each non leaf node corresponds to cluster probability density, fetches this cluster probability density from all standard probability density which the non leaf node compared to corresponds to the leaf node of branch the low order. rokiyaraiza (50) of making use, corresponds into input configuration the reference pattern which is recognized the reference pattern database (40) is laid out in the reference pattern which is stored.
机译:(57)<摘要>利用这种方式和系统,通过模式(20),您可以轻松地从连续的物理量中获取声音的持续时间。该系统访问物理量和生成入口观察矢量串(30)的入口装置。条目观察向量显示输入配置。存储由标准单位字符串构成的参考图案,并使用参考图案数据库(40)。每个标准单位均以相关的标准概率密度显示。您将与每个标准单位的ribiiruda(60)相关的标准概率密度的连音显示为树结构。每个非叶节点对应于群集概率密度,从与非叶节点相比对应于低阶分支的叶节点的所有标准概率密度中获取此群集概率密度。使用的rokiyaraiza(50)在输入配置中对应于参考图案,该参考图案被识别为参考图案数据库(40)被布置在所存储的参考图案中。

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