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http://hdl.handle.net/2445/119121
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DC Field | Value | Language |
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dc.contributor.author | Puertas i Prats, Eloi | - |
dc.contributor.author | Escalera Guerrero, Sergio | - |
dc.contributor.author | Pujol Vila, Oriol | - |
dc.date.accessioned | 2018-01-18T13:43:24Z | - |
dc.date.available | 2018-01-18T13:43:24Z | - |
dc.date.issued | 2015-04-30 | - |
dc.identifier.issn | 1433-7541 | - |
dc.identifier.uri | http://hdl.handle.net/2445/119121 | - |
dc.description.abstract | In many classification problems, neighbor data labels have inherent sequential relationships. Sequential learning algorithms take benefit of these relationships in order to improve generalization. In this paper, we revise the multi-scale sequential learning approach (MSSL) for applying it in the multi-class case (MMSSL). We introduce the error-correcting output codesframework in the MSSL classifiers and propose a formulation for calculating confidence maps from the margins of the base classifiers. In addition, we propose a MMSSL compression approach which reduces the number of features in the extended data set without a loss in performance. The proposed methods are tested on several databases, showing significant performance improvement compared to classical approaches. | - |
dc.format.extent | 15 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Springer Verlag | - |
dc.relation.isformatof | Versió postprint del document publicat a: https://doi.org/10.1007/s10044-013-0333-y | - |
dc.relation.ispartof | Pattern Analysis and Applications, 2015, vol. 18, num. 2, p. 247-261 | - |
dc.relation.uri | https://doi.org/10.1007/s10044-013-0333-y | - |
dc.rights | (c) Springer Verlag, 2015 | - |
dc.source | Articles publicats en revistes (Matemàtiques i Informàtica) | - |
dc.subject.classification | Algorismes | - |
dc.subject.classification | Aprenentatge | - |
dc.subject.other | Algorithms | - |
dc.subject.other | Learning | - |
dc.title | Generalized multi-scale stacked sequential learning for multi-class classification | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.idgrec | 622017 | - |
dc.date.updated | 2018-01-18T13:43:24Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Matemàtiques i Informàtica) |
Files in This Item:
File | Description | Size | Format | |
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622017.pdf | 2.21 MB | Adobe PDF | View/Open |
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