31 search results - page 1 / 7 » Learning from Relevance Feedback Sessions using a K-Nearest-... |
ICMCS
2007
IEEE
13 years 10 months ago
2007
IEEE
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
ICIAR
2007
Springer
13 years 10 months ago
2007
Springer
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
TKDE
2008
13 years 4 months ago
2008
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
AMR
2007
Springer
13 years 10 months ago
2007
Springer
The goal of this paper is to study the image-concept relationship as it pertains to image annotation. We demonstrate how automatic annotation of images can be implemented on partia...
IADIS
2004
13 years 5 months ago
2004
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...