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Abstract：
Semantic clustering is an important and challenge task for content-based image database management. This paper proposes a semantic clustering learning technique, which collects the relevance feedback image retrieval transaction and uses hypergraph to represent images correlation ship, then obtains the semantic clusters by hypergraph partitioning. Experiments show that it is efficient and simple. © 2003 IEEE.
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Year： 2003
Volume： 3
Page： 1581-1585
Language： English
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WoS CC Cited Count： 0
SCOPUS Cited Count： 6
ESI Highly Cited Papers on the List： 0 Unfold All
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30 Days PV： 13
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