58 search results - page 1 / 12 » Feature Relevance Learning with Query Shifting for Content-B... |
ICPR
2000
IEEE
14 years 5 months ago
2000
IEEE
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
MLDM
2001
Springer
13 years 9 months ago
2001
Springer
: Despite the efforts to reduce the semantic gap between user perception of similarity and featurebased representation of images, user interaction is essential to improve retrieval...
ICMCS
2000
IEEE
13 years 9 months ago
2000
IEEE
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
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...
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 ...