Semi-supervised hierarchical clustering for personalized web image organization

Semi-supervised hierarchical clustering for personalized web image organization

Existing efforts on web image organization usually transform the task into surrounding text clustering. However, Current text clustering algorithms do not address the problem of insufficient statistical information for image representation and noisy tags which greatly decreases the clustering perfor...

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書目詳細資料
Main Authors:	MENG, Lei, TAN, Ah-hwee
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2012
主題:	Databases and Information Systems Graphics and Human Computer Interfaces
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/6887 https://ink.library.smu.edu.sg/context/sis_research/article/7890/viewcontent/Semi_supervisedHierarchicalClusteringforPersonalizedWebImageOrganization.pdf
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