1427 search results - page 38 / 286 » Learning with Annotation Noise |
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...
IJCV
2011
14 years 4 months ago
2011
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
100
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ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
Image annotation has been an active research topic in the recent years due to its potentially large impact on both image understanding and web/database image search. In this paper...
NECO
2002
14 years 9 months ago
2002
In the presence of a heavy-tail noise distribution, regression becomes much more di cult. Traditional robust regression methods assume that the noise distribution is symmetric and...
104
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AMR
2007
Springer
15 years 3 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...