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Efficient storage and processing of high-dimensional feature vectors

机译:高效存储和高维特征向量的处理

摘要

In one embodiment, an apparatus comprises a storage device and a processor. The storage device stores a feature vector index, wherein the feature vector index comprises a sparse-array data structure representing a feature space for a set of labeled feature vectors, wherein the set of labeled feature vectors are assigned to a plurality of classes. The processor is to: receive a query corresponding to a target feature vector; access, via the storage device, a first portion of the feature vector index, wherein the first portion of the feature vector index comprises a subset of labeled feature vectors that correspond to a same portion of the feature space as the target feature vector; determine the corresponding class of the target feature vector based on the subset of labeled feature vectors; and provide a response to the query based on the corresponding class.
机译:在一个实施例中,装置包括存储设备和处理器。存储设备存储特征向量索引,其中,所述特征向量索引包括稀疏阵列数据结构,其表示用于一组标记的特征向量的特征空间,其中将所述标记特征向量的集合分配给多个类别。处理器是:接收与目标特征向量对应的查询;通过存储设备访问特征向量索引的第一部分,其中特征矢量索引的第一部分包括标记的特征向量的子集,其对应于特征空间的相同部分作为目标特征向量;根据标记的特征向量的子集确定目标特征向量的相应类;并根据相应的类提供对查询的响应。

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