37 search results - page 2 / 8 » Bootstrapping SVM Active Learning by Incorporating Unlabelle... |
ECML
2004
Springer
14 years 23 days ago
2004
Springer
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
MIR
2004
ACM
14 years 24 days ago
2004
ACM
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
Image retrieval with relevance feedback suffers from the small sample problem. Recently, SVM active learning has been proposed to tackle this problem, showing promising results. H...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...