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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x0(1),其中每个矢量将组成N个数字或描述符中的每个,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,从而每个对象由N个不同的描述符确定,每个描述符用'm'位,其中每个描述符描述的数量必须归一化到该范围所覆盖的范围,并且其中要扫描的数据库将返回总共n个向量(2),每个向量将与参考值进行比较多个向量比较器(3)中的向量x0(1)。

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