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A recursive patterns matching model for the dynamic pattern recognition problem

dc.contributor.authorPuerto Cuadros, Eduard Gilberto
dc.contributor.authorAguilar, Jose
dc.contributor.authorChavez Garcia, Danilo
dc.date.accessioned2021-12-02T15:15:04Z
dc.date.available2021-12-02T15:15:04Z
dc.date.issued2018-06-04
dc.identifier.urihttp://repositorio.ufps.edu.co/handle/ufps/1653
dc.description.abstractThis paper defines a new recursive pattern matching model based on the theory of the systemic functioning of the human brain, called pattern recognition theory of mind, in the context of the dynamic pattern recognition problem. Dynamic patterns are characterized by having properties that change in intervals of time, such as a pedestrian walking or a car running (the negation of a dynamic pattern is a static pattern). Novel contributions of this paper include: (1) Formally develop the concepts of dynamic and static pattern, (2) design a recursive pattern matching model, which exploits the idea of recursivity and time series in the recognition process, and the unbundling/integration of pattern to recognize, and (3) develop strategies of pattern matching from two major orientations: recognition of dynamic patterns oriented by characteristic, or oriented by perception. The model is instantiated in several cases, to analyze its performance.eng
dc.format.extent15 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherApplied Artificial Intelligencespa
dc.relation.ispartofApplied Artificial Intelligence
dc.rightsCopyright © 2021 Informa UK Limitedeng
dc.sourcehttps://www.tandfonline.com/doi/abs/10.1080/08839514.2018.1481593spa
dc.titleA recursive patterns matching model for the dynamic pattern recognition problemeng
dc.typeArtículo de revistaspa
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dc.identifier.doihttps://doi.org/10.1080/08839514.2018.1481593
dc.publisher.placeReino Unidospa
dc.relation.citationeditionVol.32 No.4.(2018)spa
dc.relation.citationendpage432spa
dc.relation.citationissue4(2018)spa
dc.relation.citationstartpage419spa
dc.relation.citationvolume32spa
dc.relation.citesPuerto, E., Aguilar, J., & Chávez, D. (2018). A recursive patterns matching model for the dynamic pattern recognition problem. Applied Artificial Intelligence, 32(4), 419-432.
dc.relation.ispartofjournalApplied Artificial Intelligencespa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonsAtribución 4.0 Internacional (CC BY 4.0)spa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa
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oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa


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