Multiple Instance Learning with Correlated Features
Huang, Yiheng; Zhang, Wensheng; Wang, Jue
2012-06-01
发表期刊INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
卷号14期号:2页码:305-313
文章类型Article
摘要Multiple-instance learning (MIL) has received increasing amount of research interest in machine learning recent years for its wide applications in image classification, text categorization, computer security, etc. Unlike supervised learning, in MIL, only the labels of bags are known, the instance labels in positive bags are not available. Many algorithms make the assumption that the instances in the bags are i.i.d samples, but this may not true in practical applications. In this paper, we treat the negative instances in the positive bag as pairwise partners of the positive instances, by using this correlation information, efficient feature is built to describe the bag. Experiment results show that this description is efficient in real world applications.
关键词Correlation Feature Multiple Instance Learning Pairwise Partners Unsupervised Learning
WOS标题词Science & Technology ; Technology
收录类别SCI
语种英语
WOS研究方向Automation & Control Systems ; Computer Science
WOS类目Automation & Control Systems ; Computer Science, Artificial Intelligence
WOS记录号WOS:000306825100015
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9997
专题精密感知与控制研究中心_精密感知与控制
作者单位Chinese Acad Sci, Inst Automat, Dept Key Lab Complex Syst Intelligence Sci, Beijing 100190, Peoples R China
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GB/T 7714
Huang, Yiheng,Zhang, Wensheng,Wang, Jue. Multiple Instance Learning with Correlated Features[J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS,2012,14(2):305-313.
APA Huang, Yiheng,Zhang, Wensheng,&Wang, Jue.(2012).Multiple Instance Learning with Correlated Features.INTERNATIONAL JOURNAL OF FUZZY SYSTEMS,14(2),305-313.
MLA Huang, Yiheng,et al."Multiple Instance Learning with Correlated Features".INTERNATIONAL JOURNAL OF FUZZY SYSTEMS 14.2(2012):305-313.
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