Indexing and mining large-scale neuron databases using maximum inner product search

作者：

Highlights：

• A comprehensive and effective framework is designed to index and mine large-scale neuron morphological databases.

• A novel retrieval method is proposed based on maximum inner product search and feature hierarchy.

• Its potential use cases are demonstrated for neuron identification and property analysis.

摘要

•A comprehensive and effective framework is designed to index and mine large-scale neuron morphological databases.•A novel retrieval method is proposed based on maximum inner product search and feature hierarchy.•Its potential use cases are demonstrated for neuron identification and property analysis.

论文关键词：Neuron morphology,Large-scale retrieval,Binary coding

论文评审过程：Received 30 December 2015, Revised 3 June 2016, Accepted 21 September 2016, Available online 3 October 2016, Version of Record 27 November 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.09.041