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Adaptive search method in feature vector space

机译:特征向量空间中的自适应搜索方法

摘要

An adaptive search method in feature vector space which can quickly search the feature vector space indexed based on approximation for a feature vector having features similar to a query vector according to a varying distance measurement is provided. The adaptive search method includes the steps of (a) performing a similarity measurement on a given query vector within the feature vector space, and (b) applying search conditions limited by the result of the similar measurement obtained in the step (a) and performing a changed similarity measurement on the given query vector. According to the adaptive search method, the number of candidate approximation regions is reduced during a varying distance measurement such as an on-line retrieval, which improves the search speed.
机译:提供了一种在特征向量空间中的自适应搜索方法,该方法可以根据变化的距离测量来快速搜索基于逼近而索引的特征向量空间,以具有与查询向量相似的特征的特征向量。自适应搜索方法包括以下步骤:(a)对特征向量空间内的给定查询向量执行相似度测量;以及(b)应用受步骤(a)中获得的相似度测量结果限制的搜索条件,并执行给定查询向量的相似性度量值发生了变化。根据自适应搜索方法,在诸如在线检索的变化距离测量期间减少了候选近似区域的数量,这提高了搜索速度。

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