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- W1997398511 abstract "We proposed a method to classify songs in the Million Song Dataset according to song genre. Since songs have several data types, we trained sub-classifiers by different types of data. These sub-classifiers are combined using both classifier authority and classification confidence for a particular instance. In the experiments, the combined classifier surpasses all of these sub-classifiers and the SVM classifier using concatenated vectors from all data types. Finally, the genre labels for the Million Song Dataset are provided." @default.
- W1997398511 created "2016-06-24" @default.
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- W1997398511 date "2012-08-12" @default.
- W1997398511 modified "2023-09-23" @default.
- W1997398511 title "Genre classification for million song dataset using confidence-based classifiers combination" @default.
- W1997398511 cites W2064564356 @default.
- W1997398511 doi "https://doi.org/10.1145/2348283.2348480" @default.
- W1997398511 hasPublicationYear "2012" @default.
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