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- W1852595145 abstract "The goal of this research is to explore several semantic relatedness measures that help to refine annotations generated by a base-line non-parametric density estimation algorithm. Thus, we analyse the benefits of performing a statistical correlation using the training set or using the World Wide Web versus approaches based on a thesaurus like WordNet or Wikipedia (considered as a hyperlink structure). Experiments are carried out using the dataset provided by the 2009 edition of the ImageCLEF competition, a subset of the MIR-Flickr 25k collection. Best results correspond to approaches based on statistical correlation as they do not depend on a prior disambiguation phase like WordNet and Wikipedia. Further work needs to be done to assess whether proper disambiguation schemas might improve their performance." @default.
- W1852595145 created "2016-06-24" @default.
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- W1852595145 date "2010-01-01" @default.
- W1852595145 modified "2023-09-25" @default.
- W1852595145 title "Exploring the Semantics behind a Collection to Improve Automated Image Annotation" @default.
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- W1852595145 doi "https://doi.org/10.1007/978-3-642-15751-6_40" @default.
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