Show simple item record

dc.contributor.authorGonzález Bandala, Daniel Alejandro
dc.date.accessioned2020-08-06T03:15:13Z
dc.date.available2020-08-06T03:15:13Z
dc.date.issued2011
dc.identifier.urihttps://repositorio.cinvestav.mx/handle/cinvestav/91
dc.formatpdf
dc.format.extent91 p. :28 cm.
dc.language.isospa
dc.publisherTesis (M.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.otherHuman face recognition (Computer science)
dc.subject.otherBiologically-inspired computing
dc.subject.otherOptical pattern recognition
dc.subject.otherPattern recognition systems
dc.subject.otherBiometry
dc.subject.otherNeural networks (Computer science)
dc.subject.otherDissertations, Academic
dc.titleReconocimiento Bio-inspirado de rostros
dc.typemasterThesis
dc.contributor.directorCastellanos Sánchez, Claudio
dc.identificator7
dc.identifier.marc01890cam a2200409 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


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

http://creativecommons.org/licenses/by-nc-nd/4.0
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0