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	Multi-bit quantisation for similarity-preserving hashing
	Liang, Dong; Zhu, Ming; Tang, Jun; Su, Liang Liang
刊名	IET COMPUTER VISION
	2018
卷号	Vol.12 No.5页码:616-622
关键词	quantisation cryptography search problems Big Data Hamming codes image segmentation learning image coding multibit quantisation similarity-preserving hashing hashing-based approximate nearest neighbour search Big Data Hamming space MBQ method Matthews correlation coefficient MCC original data point distribution information multiple bits per projection dimension image data sets feature space
ISSN号	1751-9632
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2201278
专题	安徽大学
作者单位	1.Anhui Univ, Key Lab Intelligent Comp & Signal Proc, Minist Educ, Hefei 230601, Anhui, Peoples R China 2.Anhui Univ, Sch Elect & Informat Engn, Hefei 230601, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Liang, Dong,Zhu, Ming,Tang, Jun,et al. Multi-bit quantisation for similarity-preserving hashing[J]. IET COMPUTER VISION,2018,Vol.12 No.5:616-622.
APA	Liang, Dong,Zhu, Ming,Tang, Jun,&Su, Liang Liang.(2018).Multi-bit quantisation for similarity-preserving hashing.IET COMPUTER VISION,Vol.12 No.5,616-622.
MLA	Liang, Dong,et al."Multi-bit quantisation for similarity-preserving hashing".IET COMPUTER VISION Vol.12 No.5(2018):616-622.

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