110 search results - page 15 / 22 » Stretching Bayesian Learning in the Relevance Feedback of Im... |
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
Content-based image retrieval systems still have difficulties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is loo...
WWW
2004
ACM
14 years 9 months ago
2004
ACM
Without textual descriptions or label information of images, searching semantic concepts in image databases is still a very challenging task. While automatic annotation techniques...
MIR
2006
ACM
14 years 2 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...
PR
2007
13 years 8 months ago
2007
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...
ETRA
2010
ACM
14 years 3 months ago
2010
ACM
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...