467 search results - page 36 / 94 » Using Pseudo-Relevance Feedback to Improve Image Retrieval R... |
120
click to vote
CISST
2004
15 years 2 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...
MLDM
1999
Springer
15 years 4 months ago
1999
Springer
Content-based image retrieval methods based on the Euclidean metric expect the feature space to be isotropic. They suer from unequal dierential relevance of features in comput...
134
Voted
VISUAL
2000
Springer
15 years 4 months ago
2000
Springer
In image retrieval, global features related to color or texture are commonly used to describe the image. The use of interest points in contentbased image retrieval allows image ind...
136
Voted
BMVC
2001
15 years 3 months ago
2001
In image retrieval, global features related to color or texture are commonly used to describe the image content. The use of interest points in contentbased image retrieval allows ...
ER
2006
Springer
15 years 4 months ago
2006
Springer
Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we ...