Knowledge Management System Of Shanghai Institute of Applied Physics, CAS
| Learning context-sensitive similarity by shortest path propagation | |
| Wang, Jingyan（王靖琰）; Li, Yongping（李勇平）; Bai, Xiang; Zhang, Ying（张莹）; Wang, Chao; Tang, Ning | |
| 2011 | |
| Source Publication | PATTERN RECOGNITION
 |
| ISSN | 0031-3203 |
| Volume | 44Issue:41193Pages:2367 |
| Abstract | In this paper, we introduce a novel shape/object retrieval algorithm shortest path propagation (SSP). Given a query object q and a target database object p, we explicitly find the shortest path between them in the distance manifold of the database objects. Then a new distance measure between q and p is learned based on the database objects on the shortest path to replace the original distance measure. The promising results on both MEPG-7 shape dataset and a protein dataset demonstrate that our method can significantly improve the ranking of the object retrieval. (C) 2011 Elsevier Ltd. All rights reserved. |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 应物所项目组 |
| WOS ID | WOS:000292849000015 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.sinap.ac.cn/handle/331007/9540 |
| Collection | 中科院上海应用物理研究所2011-2019年 |
| Recommended Citation GB/T 7714 | Wang, Jingyan,Li, Yongping,Bai, Xiang,et al. Learning context-sensitive similarity by shortest path propagation[J]. PATTERN RECOGNITION,2011,44(41193):2367. |
| APA | Wang, Jingyan,Li, Yongping,Bai, Xiang,Zhang, Ying,Wang, Chao,&Tang, Ning.(2011).Learning context-sensitive similarity by shortest path propagation.PATTERN RECOGNITION,44(41193),2367. |
| MLA | Wang, Jingyan,et al."Learning context-sensitive similarity by shortest path propagation".PATTERN RECOGNITION 44.41193(2011):2367. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| Learning context-sen（778KB） | 开放获取 | -- | View Download | |||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment