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MAMMO
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. In this paper we present a boosting based approach for automatic detection of micro-calcifications in mammographic images. Our proposal is based on using local features e...
ICVGIP
2008
13 years 10 months ago
2008
We investigate to what extent combinations of features can improve classification performance on a large dataset of similar classes. To this end we introduce a 103 class flower da...
FLAIRS
2008
13 years 10 months ago
2008
In this paper, we present methods to analyze dialog coherence that help us to automatically distinguish between coherent and incoherent conversations. We build a machine learning ...
BMCBI
2006
13 years 8 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
ICCV
2009
IEEE
13 years 6 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...