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- W148882126 abstract "This paper presents the SARC EyesWeb Catalog, (SEC), a machine learning toolbox that has been specically developed for musician-computer interaction. The SEC features a large number of machine learning algorithms that can be used in real-time to recognise static postures, perform regression and classify multivariate temporal gestures. The algorithms within the toolbox have been designed to work with any N-dimensional signal and can be quickly trained with a small number of training examples. We also provide the motivation for the algorithms used for the recognition of musical gestures to achieve a low intra-personal generalisation error, as opposed to the inter-personal generalisation error that is more common in other areas of humancomputer interaction." @default.
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- W148882126 date "2011-06-01" @default.
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- W148882126 title "A Machine Learning Toolbox For Musician Computer Interaction" @default.
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- W148882126 doi "https://doi.org/10.5072/zenodo.206675" @default.
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