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Hybrid neighborhood graph search for scalable visual indexing

机译:混合邻域图搜索可扩展的可视索引

摘要

A hybrid search method may be used to identify information responsive to a query. A search may be performed utilizing a neighborhood graph and a partitioning tree. The partitioning tree may be searched to select one or more pivots that may be used to guide a subsequent search in the neighborhood graph. Once the search in the neighborhood graph is unable to identify nearest neighbors in closer proximity to the query, the search may be switched to the partitioning tree. The partitioning tree may then be searched to select pivots that may be used to guide subsequent searches in the neighborhood graph. The searches performed in the partitioning tree and/or the neighborhood graph may be conducted utilizing an iterative algorithm.
机译:可以使用混合搜索方法来识别响应于查询的信息。可以利用邻域图和分区树来执行搜索。可以搜索分区树以选择一个或多个枢轴,这些枢轴可用于指导附近的图中的后续搜索。一旦在邻域图中的搜索不能识别更接近查询的最近邻,就可以将搜索切换到分区树。然后可以搜索分区树以选择枢轴,这些枢轴可用于指导邻域图中的后续搜索。可以利用迭代算法来进行在分区树和/或邻域图中执行的搜索。

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