110 search results - page 10 / 22 » Stretching Bayesian Learning in the Relevance Feedback of Im... |
ECML
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
MIR
2004
ACM
14 years 2 months ago
2004
ACM
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
ETRA
2010
ACM
14 years 3 months ago
2010
ACM
In this paper we predict the relevance of images based on a lowdimensional feature space found using several users’ eye movements. Each user is given an image-based search task,...
MM
2009
ACM
14 years 1 months ago
2009
ACM
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
ICMCS
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...