225 search results - page 12 / 45 » A Semi-Supervised Active Learning Framework for Image Retrie... |
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
MIR
2006
ACM
14 years 1 months ago
2006
ACM
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we present a long term learning system for content based image retrieval over a network. Relevant feedback is used among different sessions to learn both the simila...