Relevance and irrelevance graph based marginal Fisher analysis for image search reranking
文献类型：期刊论文
| 作者 | Ji, Zhong1; Pang, Yanwei1; Yuan, Yuan2 ; Pan, Jing3
|
| 刊名 | signal processing
 |
| 出版日期 | 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 |
| 产权排序 | 2 |
| 通讯作者 | pang, yw |
| 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. |
| WOS标题词 | science & technology ; technology |
| 学科主题 | 电子、电信技术 |
| 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 |
| 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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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