17 search results - page 3 / 4 » Sample Selection Strategies for Relevance Feedback in Region... |
ICIP
2007
IEEE
14 years 2 days ago
2007
IEEE
In relevance feedback, active learning is often used to alleviate the burden of labeling by selecting only the most informative data. Traditional data selection strategies often c...
MMM
2005
Springer
13 years 11 months ago
2005
Springer
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). However, since users are usually unwillin...
PR
2007
13 years 5 months ago
2007
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...
MIR
2004
ACM
13 years 11 months 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...
CLEF
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. In this report, we describe our studies with cross language and interactive image retrieval in ImageCLEF 2004. Typical cross language retrieval requires special linguisti...