110 search results - page 4 / 22 » Stretching Bayesian Learning in the Relevance Feedback of Im... |
ICIP
2000
IEEE
14 years 9 months ago
2000
IEEE
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper presents a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems based on soft-decision. An efficient learning appro...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
One current direction to enhance the search accuracy in visual object retrieval is to reformulate the original query through (pseudo-)relevance feedback, which augments a query wi...
MM
2006
ACM
14 years 1 months ago
2006
ACM
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
CIVR
2006
Springer
13 years 11 months ago
2006
Springer
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...