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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/111492
DC FieldValueLanguage
dc.contributor.authorDavid, S.en_US
dc.contributor.authorFerrer, Miguel A.en_US
dc.contributor.authorTravieso, Carlos Manuelen_US
dc.contributor.authorAlonso Hernández, Jesús Bernardinoen_US
dc.date.accessioned2021-09-02T07:31:07Z-
dc.date.available2021-09-02T07:31:07Z-
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/10553/111492-
dc.description.abstractA Hidden Markov Model (HMM) Toolbox within the Matlab environment is presented. In this toolbox, the conventional techniques for the continuous and discrete HMM are developed for the training as well as for the test phases. The ability to make different groups of components for the vector pattern is provided. Multilabeling techniques for the discrete HMM is also provided. The toolbox includes procedures suitable for the classical applications based on the HMM, as pattern recognition, speech recognition and DNA sequence analysis.en_US
dc.languageengen_US
dc.sourceProceedings of Complex systems intelligence and modern technological applications, p. 476-479en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherPattern recognitionen_US
dc.subject.otherHidden Markov Modelen_US
dc.subject.otherMatlab Toolboxen_US
dc.titlegpdsHMM: a hidden Markov model toolbox in the Matlab Enviromenen_US
dc.typeinfo:eu-repo/semantics/lectureen_US
dc.typeLectureen_US
dc.relation.conferenceComplex systems intelligence and modern technological applications, Cherbourg, France, 22 september 2004en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Ponenciaen_US
dc.utils.revisionSíen_US
dc.identifier.ulpgcSíen_US
dc.contributor.buulpgcBU-TELen_US
dc.contributor.buulpgcBU-TELen_US
dc.contributor.buulpgcBU-TELen_US
dc.contributor.buulpgcBU-TELen_US
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-2924-1225-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
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