17 search results - page 2 / 4 » Performance evaluation of Euclidean correlation-based releva... |
SAC
2006
ACM
13 years 11 months ago
2006
ACM
Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...
VLC
2008
13 years 5 months ago
2008
Given the difficulty of setting up large-scale experiments with real users, the comparison of content-based image retrieval methods using relevance feedback usually relies on the ...
TKDE
2008
13 years 5 months ago
2008
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
CIVR
2005
Springer
13 years 11 months ago
2005
Springer
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
ICIP
2001
IEEE
14 years 6 months ago
2001
IEEE
The majority of today's content based image retrieval systems rely on low-level image descriptors which limit their capability to support meaningful interactions with the use...