Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/146367
DC Field | Value | |
---|---|---|
dc.title | Feature space warping: An approach to relevance feedback | |
dc.contributor.author | Bang H.Y. | |
dc.contributor.author | Chen T. | |
dc.date.accessioned | 2018-08-21T05:11:35Z | |
dc.date.available | 2018-08-21T05:11:35Z | |
dc.date.issued | 2002 | |
dc.identifier.citation | Bang H.Y., Chen T. (2002). Feature space warping: An approach to relevance feedback. IEEE International Conference on Image Processing 1 : I/968-I/971. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/146367 | |
dc.description.abstract | Relevance feedback has been shown to be an effective tool to enhance content-based information retrieval (CBIR) systems. We propose a new approach to relevance feedback by warping the database's feature space, or shifting the objects' data points in a controlled manner responding to user feedback. We demonstrate that given consistent feedback, the performance of the retrieval system can be significantly increased. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | OFFICE OF THE PROVOST | |
dc.contributor.department | DEPARTMENT OF COMPUTER SCIENCE | |
dc.description.sourcetitle | IEEE International Conference on Image Processing | |
dc.description.volume | 1 | |
dc.description.page | I/968-I/971 | |
dc.description.coden | 85QTA | |
dc.published.state | published | |
Appears in Collections: | Staff Publications |
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