Application Research of Ensemble Learning Algorithm in Image Annotation

被引：0
|
作者：
Lin, Zhenxiang [1 ]
Guo, Jinlin [1 ]
Lao, Songyang [1 ]
机构：
[1] Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410005, Peoples R China
来源：
PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY (FMSMT 2017) | 2017年 / 130卷
关键词：
Ensemble learning algorithm; Image annotation; Machine learning;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Automatic image annotation is a fundamental and challenging task in the field of image retrieval. This paper introduces the concept and process of random forest algorithm. According to the characteristics of the current annotation model, the random forest algorithm is applied in image annotation field. The experimental results show that the machine learning algorithm used in this paper is more effective than traditional algorithms, which has a higher accuracy and a short processing time.
引用
收藏
页码：131 / 134
页数：4
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