文章题目 关键词 ： 高维索引；相似性检索；近似向量；逼近索引 [gap=1262]Keywords: High-Dimensional Indexing; Similarity Search; Approximate Vector; Approaching Index
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Accurate estimate of data distribution and efficient partition of data space are key problems in high-dimensional indexing schemes.
对数据空间的精确描述及对数据空间的有效划分是高维索引机制中的关键问题。
参考来源 - 基于内容的图像数据库检索中关键技术的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The enhancement of high-dimensional indexing technique is necessary to improve the performance of image database retrieval.
为了提高图像数据库的检索效率，必须提高高维索引的效率。
To speed up high-dimensional similarity search efficiency, a novel high-dimensional indexing structure based on dual distance metric (DDM) was proposed.
为了提高高维数据相似查询的效率，提出一种基于双重距离尺度(DDM)的新型高维索引结构。
The splitting strategy for high dimensional data set is important for the performance of the indexing of high-dimensional database.
数据集的划分策略是影响高维数据库索引性能的一个关键因素。
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