63 search results - page 1 / 13 » Qcluster: Relevance Feedback Using Adaptive Clustering for C... |
SIGMOD
2003
ACM
14 years 4 months ago
2003
ACM
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
VIP
2003
13 years 5 months ago
2003
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
CISST
2004
13 years 5 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
ICASSP
2007
IEEE
13 years 10 months ago
2007
IEEE
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
VISUAL
2000
Springer
13 years 8 months ago
2000
Springer
Relevance feedback is a powerful technique for content-based image retrieval. Many parameter estimation approaches have been proposed for relevance feedback. However, most of them ...