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	Subspace clustering based tag sharing for inductive tag matrix refinement with complex errors
	Hou, Yuqing ; Lin, Zhouchen ; Yao, Jin-Ge
	2016
英文摘要	Annotating images with tags is useful for indexing and retrieving images. However, many available annotation data include missing or inaccurate annotations. In this paper, we propose an image annotation framework which sequentially performs tag completion and refinement. We utilize the subspace property of data via sparse subspace clustering for tag completion. Then we propose a novel matrix completion model for tag refinement, integrating visual correlation, semantic correlation and the novelly studied property of complex errors. The proposed method outperforms the state-of-the-art approaches on multiple benchmark datasets even when they contain certain levels of annotation noise. ? 2016 ACM.; EI; 1013-1016
语种	英语
出处	39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016
DOI标识	10.1145/2911451.2914693
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/449419]
专题	计算机科学技术研究所 信息科学技术学院
推荐引用方式 GB/T 7714	Hou, Yuqing,Lin, Zhouchen,Yao, Jin-Ge. Subspace clustering based tag sharing for inductive tag matrix refinement with complex errors. 2016-01-01.

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