中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Cost-Sensitive Rank Learning From Positive and Unlabeled Data for Visual Saliency Estimation

文献类型:期刊论文

作者Li, Jia1; Tian, Yonghong2; Huang, Tiejun2; Gao, Wen2
刊名IEEE SIGNAL PROCESSING LETTERS
出版日期2010-06-01
卷号17期号:6页码:591-594
关键词Cost-sensitive positive and unlabeled data rank learning visual saliency
ISSN号1070-9908
DOI10.1109/LSP.2010.2048049
英文摘要This paper presents a cost-sensitive rank learning approach for visual saliency estimation. This approach avoids the explicit selection of positive and negative samples, which is often used by existing learning-based visual saliency estimation approaches. Instead, both the positive and unlabeled data are directly integrated into a rank learning framework in a cost-sensitive manner. Compared with existing approaches, the rank learning framework can take the influences of both the local visual attributes and the pair-wise contexts into account simultaneously. Experimental results show that our algorithm outperforms several state-of-the-art approaches remarkably in visual saliency estimation.
资助项目Chinese National Natural Science Foundation[60973055] ; Chinese National Natural Science Foundation[90820003] ; National Basic Research Program of China[2009CB320906]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000277337800006
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/12293]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, Jia
作者单位1.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing, Peoples R China
2.Peking Univ, Natl Engn Lab Video Technol, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
Li, Jia,Tian, Yonghong,Huang, Tiejun,et al. Cost-Sensitive Rank Learning From Positive and Unlabeled Data for Visual Saliency Estimation[J]. IEEE SIGNAL PROCESSING LETTERS,2010,17(6):591-594.
APA Li, Jia,Tian, Yonghong,Huang, Tiejun,&Gao, Wen.(2010).Cost-Sensitive Rank Learning From Positive and Unlabeled Data for Visual Saliency Estimation.IEEE SIGNAL PROCESSING LETTERS,17(6),591-594.
MLA Li, Jia,et al."Cost-Sensitive Rank Learning From Positive and Unlabeled Data for Visual Saliency Estimation".IEEE SIGNAL PROCESSING LETTERS 17.6(2010):591-594.

入库方式: OAI收割

来源:计算技术研究所

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