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EM Training of Hidden Markov Models for Shape Recognition Using Cyclic Strings
dc.contributor.author | Palazón González, Vicente | |
dc.contributor.author | Marzal Varó, Andrés | |
dc.contributor.author | Vilar Torres, Juan Miguel | |
dc.date.accessioned | 2014-06-18T10:27:23Z | |
dc.date.available | 2014-06-18T10:27:23Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Palazón González, Vicente; Marzal Varó, Andrés; Vilar Torres, Juan Miguel. "EM Training of Hidden Markov Models for Shape Recognition Using Cyclic Strings". En: Neural Information Processing – 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part III/ Lee, M.,[et al.] (Eds.). Berlin : Springer, 2013. (Lecture Notes in Computer Science; 8228) . ISBN: 978-3-642-42050-4, pp. 317-324 | ca_CA |
dc.identifier.isbn | 978-3-642-42050-4 | |
dc.identifier.isbn | 978-3-642-42051-1 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/10234/95272 | |
dc.description.abstract | Shape descriptions and the corresponding matching techniques must be robust to noise and invariant to transformations for their use in recognition tasks. Most transformations are relatively easy to handle when contours are represented by strings. However, starting point invariance is difficult to achieve. One interesting possibility is the use of cyclic strings, which are strings with no starting and final points. Here we present the use of Hidden Markov Models for modelling cyclic strings and their training using Expectation Maximization. Experimental results show that our proposal outperforms other methods in the literature. | ca_CA |
dc.format.extent | 8 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Springer Berlin Heidelberg | ca_CA |
dc.relation.isPartOfSeries | Lecture Notes in Computer Science;8228 | |
dc.rights | © Springer | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | Hidden markov models | ca_CA |
dc.subject | Cyclic strings | ca_CA |
dc.subject | Shape recognition. | ca_CA |
dc.title | EM Training of Hidden Markov Models for Shape Recognition Using Cyclic Strings | ca_CA |
dc.type | info:eu-repo/semantics/bookPart | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.1007/978-3-642-42051-1_40 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | http://link.springer.com/chapter/10.1007%2F978-3-642-42051-1_40 | ca_CA |
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