Relevance and irrelevance graph based marginal Fisher analysis for image search reranking

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Relevance and irrelevance graph based marginal Fisher analysis for image search reranking
	Ji, Zhong 1; Pang, Yanwei 1; Yuan, Yuan2 ; Pan, Jing 3
刊名	signal processing
	2016-04-01
卷号	121 页码:139-152
关键词	Multimedia information system Image ranking Dimensionality reduction Image search reranking Learning-to-rank Marginal Fisher Analysis
ISSN号	0165-1684
通讯作者	pang, yw
产权排序	2
英文摘要	learning-to-rank techniques have shown promising results in the domain of image ranking recently, where dimensionality reduction is a critical step to overcome the "curse of dimensionality". however, conventional dimensionality reduction approaches cannot guarantee the satisfying performance because the important ranking information is ignored. this paper presents a novel "ranking dimensionality reduction" scheme specifically designed for learning-to-rank based image ranking, which aims at not only discovering the intrinsic structure of data but also keeping the ordinal information. within this scheme, a new dimensionality reduction algorithm called relevance marginal fisher analysis (rmfa) is proposed. rmfa models the proposed pairwise constraints of relevance-link and irrelevance-link into the relevance graph and the irrelevance graph, and applies the graphs to build the objective function with the idea of marginal fisher analysis (mfa). further, a semi-supervised rmfa algorithm called semi-rmfa is developed to offer a more general solution for the real-world application. extensive experiments are carried on two popular, real-world image search reranking datasets. the promising results demonstrate the robustness and effectiveness of the proposed scheme and methods. (c) 2015 elsevier b.v. all rights reserved.
学科主题	电子、电信技术
WOS标题词	science & technology ; technology
类目[WOS]	engineering, electrical & electronic
研究领域[WOS]	engineering
关键词[WOS]	visual-search ; retrieval ; rank ; recognition
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000369193600012
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/27688]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	1.Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China 2.Chinese Acad Sci, Ctr Opt Imagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 3.Tianjin Univ Technol & Educ, Sch Elect Engn, Tianjin 300222, Peoples R China
推荐引用方式 GB/T 7714	Ji, Zhong,Pang, Yanwei,Yuan, Yuan,et al. Relevance and irrelevance graph based marginal Fisher analysis for image search reranking[J]. signal processing,2016,121:139-152.
APA	Ji, Zhong,Pang, Yanwei,Yuan, Yuan,&Pan, Jing.(2016).Relevance and irrelevance graph based marginal Fisher analysis for image search reranking.signal processing,121,139-152.
MLA	Ji, Zhong,et al."Relevance and irrelevance graph based marginal Fisher analysis for image search reranking".signal processing 121(2016):139-152.