110 search results - page 8 / 22 » Stretching Bayesian Learning in the Relevance Feedback of Im... |
TKDE
2008
13 years 8 months ago
2008
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
ICASSP
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
JMLR
2010
13 years 3 months ago
2010
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that...
ICIP
2001
IEEE
14 years 10 months ago
2001
IEEE
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...