295 search results - page 16 / 59 » MUSE: A Content-Based Image Search and Retrieval System Usin... |
AMR
2006
Springer
13 years 9 months ago
2006
Springer
Inaccurate or ambiguous expressions in queries lead to poor results in information retrieval. We assume that iterative user feedback can improve the quality of queries. To this end...
MIR
2006
ACM
14 years 1 months ago
2006
ACM
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
FQAS
2009
Springer
14 years 5 days ago
2009
Springer
Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback in order to get results closer to the user’s information need. This pape...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
In this paper, we evaluate and investigate two main types of relevance feedback algorithms; the Euclidean and the correlation?based approaches. In the first case, we examine heuri...