96 search results - page 6 / 20 » Learning to rank for content-based image retrieval |
CIVR
2005
Springer
14 years 1 months ago
2005
Springer
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
CIVR
2006
Springer
13 years 11 months ago
2006
Springer
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
MM
2009
ACM
14 years 4 days ago
2009
ACM
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we present a long term learning system for content based image retrieval over a network. Relevant feedback is used among different sessions to learn both the simila...
MIR
2010
ACM
13 years 5 months ago
2010
ACM
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...