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Novel top-down approaches for hierarchical classification and their application to automatic music genre classification

Silla Jr, Carlos N. and Freitas, Alex A. (2009) Novel top-down approaches for hierarchical classification and their application to automatic music genre classification. In: Chen, C.L.P. and Roberts, R., eds. 2009 IEEE International Conference on Systems, Man and Cybernetics. IEEE, pp. 182-196. ISBN 978-1-4244-2794-9. (doi:10.1109/ICSMC.2009.5346776) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/ICSMC.2009.5346776

Abstract

This paper presents two novel hierarchical classification methods which are extensions of a previously proposed selective classifier top-down approach, which consists of selecting - during the training phase - the best classifier at each node of a classifier tree. More precisely, we propose two novel selective top-down hierarchical methods. First, a method that selects the best feature set instead of the best classifier. Secondly, a method that selects both the best classifier and the best representation simultaneously. These methods are evaluated on the task of hierarchical music genre classification using four different types of feature sets extracted from each song and four classifiers.

Item Type: Book section
DOI/Identification number: 10.1109/ICSMC.2009.5346776
Uncontrolled keywords: determinacy analysis, Craig interpolants
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: C.N. Silla-Junior
Date Deposited: 21 Sep 2012 09:49 UTC
Last Modified: 04 Feb 2020 04:04 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/30588 (The current URI for this page, for reference purposes)
Freitas, Alex A.: https://orcid.org/0000-0001-9825-4700
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