Negative samples analysis in relevance feedback

IEEE Computer Soc
Publication Type:
Journal Article
IEEE Transactions On Knowledge And Data Engineering, 2007, 19 (4), pp. 568 - 580
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2011000299OK.pdf2.32 MB
Adobe PDF
Recently, relevance feedback (RF) in content-based image retrieval (CBIR) has been implemented as an online binary classifier to separate the positive samples from the negative samples, where both sets of samples are labeled by the user. In many applicat
Please use this identifier to cite or link to this item: