159 search results - page 15 / 32 » Integrating Unlabeled Images for Image Retrieval Based on Re... |
ICTIR
2009
Springer
14 years 2 months ago
2009
Springer
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
MIR
2005
ACM
14 years 1 months ago
2005
ACM
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
MLDM
2001
Springer
13 years 12 months ago
2001
Springer
: Despite the efforts to reduce the semantic gap between user perception of similarity and featurebased representation of images, user interaction is essential to improve retrieval...
ICIP
2001
IEEE
14 years 9 months ago
2001
IEEE
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
ICCV
2003
IEEE
14 years 24 days ago
2003
IEEE
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...