A visual word clustering algorithm based on affinity propagation

被引：0
|
作者：
Zhao, Jian [1 ]
Sun, Cheng [1 ]
Ma, Miao
Xie, Yu [1 ]
机构：
[1] NW Univ Xian, Sch Informat Sci & Technol, Xian 710069, Peoples R China
来源：
2012 7TH INTERNATIONAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING (SOSE) | 2012年
关键词：
indexing structure; vocabulary tree; visual word; affinity propagation clustering;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Because of the weaknesses of k-means clustering would result in deviation of the vocabulary tree structure, we developed an improved vocabulary tree structure based on affinity propagation clustering algorithm. There were three datasets used to test the tasks: the Corel dataset, the LabelMe dataset and the Caltech-101 dataset. The experiments evaluated this new build method for vocabulary tree offers not only incrementally computed sets of vocabulary tree quickly, but gained in retrieval accuracy as well.
引用
收藏
页码：14 / 17
页数：4
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