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	Unified constraint propagation on multi-view data
	Lu, Zhiwu ; Peng, Yuxin
	2013
英文摘要	This paper presents a unified framework for intra-view and inter-view constraint propagation on multi-view data. Pairwise constraint propagation has been studied extensively, where each pair-wise constraint is defined over a pair of data points from a single view. In contrast, very little attention has been paid to inter-view constraint propagation, which is more challenging since each pair-wise constraint is now defined over a pair of data points from different views. Although both interview and inter-view constraint propagation are crucial for multi-view tasks, most previous methods can not handle them simultaneously. To address this challenging issue, we propose to decompose these two types of constraint propagation into semi-supervised learning sub-problems so that they can be uniformly solved based on the traditional label propagation techniques. To further integrate them into a unified framework, we utilize the results of intra-view constraint propagation to adjust the similarity matrix of each view and then perform inter-view constraint propagation with the adjusted similarity matrices. The experimental results in cross-view retrieval have shown the superior performance of our unified constraint propagation. ? 2013, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/321384]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	Lu, Zhiwu,Peng, Yuxin. Unified constraint propagation on multi-view data. 2013-01-01.

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