Consensus hashing

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 图像与视频分析团队

	Consensus hashing
	Leng, Cong; Cheng, Jian
刊名	MACHINE LEARNING
	2015-09-01
卷号	100 期号:2-3 页码:379-398
英文摘要	Hashing techniques have been widely used in many machine learning applications because of their efficiency in both computation and storage. Although a variety of hashing methods have been proposed, most of them make some implicit assumptions about the statistical or geometrical structure of data. In fact, few hashing algorithms can adequately handle all kinds of data with different structures. When considering hybrid structure datasets, different hashing algorithms might produce different and possibly inconsistent binary codes. Inspired by the successes of classifier combination and clustering ensembles, in this paper, we present a novel combination strategy for multiple hashing results, named consensus hashing. By defining the measure of consensus of two hashing results, we put forward a simple yet effective model to learn consensus hash functions which generate binary codes consistent with the existing ones. Extensive experiments on several large scale benchmarks demonstrate the overall superiority of the proposed method compared with state-of-the-art hashing algorithms.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence
研究领域[WOS]	Computer Science
关键词[WOS]	SEARCH
收录类别	SCI
语种	英语
WOS记录号	WOS:000359747100009
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/8910]
专题	自动化研究所_模式识别国家重点实验室_图像与视频分析团队
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Leng, Cong,Cheng, Jian. Consensus hashing[J]. MACHINE LEARNING,2015,100(2-3):379-398.
APA	Leng, Cong,&Cheng, Jian.(2015).Consensus hashing.MACHINE LEARNING,100(2-3),379-398.
MLA	Leng, Cong,et al."Consensus hashing".MACHINE LEARNING 100.2-3(2015):379-398.