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PROBABILISTIC DIGITAL SYSTEM AND METHOD FOR EFFICIENTLY EXPLORING LARGE DATABASES

机译:有效地探究大型数据库的概率数字系统和方法

摘要

Probabilistic digital system for efficiently exploring large databases, which system comprises an input of n+1 vectors, 'n' of which belong to the database and one of which is the pattern to be identified, vector x0 (1); wherein each vector will consist of N numbers or descriptors, each defined by 'm' bits, and wherein each of these components of 'm' bits will represent a descriptor determined for the object which describes each vector; such that each object is determined by N different descriptors each coded with 'm' bits, and wherein the quantities described by each descriptor will have to be normalized to the range covered thereby; and wherein the database to be scanned will return a total of n vectors (2), each of which will be compared with the reference vector x0 (1) in a plurality of vector comparators (3).
机译:用于高效浏览大型数据库的概率数字系统,该系统包括n + 1个矢量的输入,其中n个属于数据库,其中一个是要识别的模式,矢量x 0 (1);其中每个矢量将由N个数字或描述符组成,每个数字或描述符由“ m”个比特定义,并且其中“ m”个比特的每个这些分量将代表为描述每个矢量的对象确定的描述符;使得每个对象由N个不同的描述符确定,每个描述符用“ m”比特编码,并且其中每个描述符所描述的数量必须被归一化到其覆盖的范围;其中要扫描的数据库将返回总共n个矢量(2),每个矢量将在多个矢量比较器(3)中与参考矢量x 0 (1)进行比较。

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