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dc.contributor.authorSánchez Orellana, Pedro Luis
dc.date.accessioned2020-08-06T03:13:21Z
dc.date.available2020-08-06T03:13:21Z
dc.date.issued2011
dc.identifier.urihttps://repositorio.cinvestav.mx/handle/cinvestav/59
dc.formatpdf
dc.format.extentxviii, 150 p. :28 cm.
dc.language.isospa
dc.publisherTesis (D.C.)--Centro de Investigación y de Estudios Avanzados del I.P.N. Unidad Tamaulipas. Laboratorio de Tecnologías de Información.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.classificationINGENIERÍA Y TECNOLOGÍA
dc.subject.otherOptical pattern recognition
dc.subject.otherPattern recognition systems
dc.subject.otherOptical character recognition devices
dc.subject.otherHuman activity recognition
dc.subject.otherImage segmentation
dc.subject.otherBiologically-inspired computing
dc.subject.otherDissertations, Academic
dc.titleMetodología bio-inspirada para el reconocimiento visual de personas por su forma de caminar
dc.typedoctoralThesis
dc.contributor.directorCastellanos Sánchez, Claudio
dc.identificator7
dc.identifier.marc03342cam a2200481 a 4500
dc.coverage.placeofpublicationCd. Victoria, Tamaulipas, México
dc.description.institutionCINVESTAV
dc.description.unidadUnidad Tamaulipas
dc.thesis.areaTecnología y Ciencias de la Ingeniería
dc.thesis.degreedisciplineComputación.
dc.rights.accessopenAccess


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