Relevance feedback in content-based image retrieval : Bayesian framework, feature subspaces, and progressive learning
Research has been devoted in the past few years to relevance feedback as an effective solution to improve performance of content-based image retrieval (CBIR). In this paper, we propose a new feedback approach with progressive learning capability combined with a novel method for the feature subspace...
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 12(2003), 8 vom: 28., Seite 924-37 |
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Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2003
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
Schlagworte: | Journal Article |
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