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» Learning with Annotation Noise
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KDD
2009
ACM
156views Data Mining» more  KDD 2009»
15 years 10 months ago
Turning down the noise in the blogosphere
In recent years, the blogosphere has experienced a substantial increase in the number of posts published daily, forcing users to cope with information overload. The task of guidin...
Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos...
CVPR
2006
IEEE
15 years 11 months ago
Noise Estimation from a Single Image
In order to work well, many computer vision algorithms require that their parameters be adjusted according to the image noise level, making it an important quantity to estimate. W...
Ce Liu, William T. Freeman, Richard Szeliski, Sing...
SAC
2008
ACM
14 years 9 months ago
Learning to identify emotions in text
This paper describes experiments concerned with the automatic analysis of emotions in text. We describe the construction of a large data set annotated for six basic emotions: ange...
Carlo Strapparava, Rada Mihalcea
MM
2006
ACM
113views Multimedia» more  MM 2006»
15 years 3 months ago
Transductive inference using multiple experts for brushwork annotation in paintings domain
Many recent studies perform annotation of paintings based on brushwork. In these studies the brushwork is modeled indirectly as part of the annotation of high-level artistic conce...
Yelizaveta Marchenko, Tat-Seng Chua, Ramesh Jain
MC
2008
146views Computer Science» more  MC 2008»
14 years 11 months ago
Paper-Centric Interaction Concepts for Collaborative Learning
Field studies show that in many learning settings paper has intrinsic advantages over electronic documents. In this paper we present concepts for the collaborative annotation and ...
Jürgen Steimle, Oliver Brdiczka