Using large databases and self-organizing maps without tears

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dc.contributor.authorBedregal, Carlos
dc.contributor.authorCuadros Vargas, Ernesto
dc.date.accessioned2019-01-29T22:19:56Z
dc.date.available2019-01-29T22:19:56Z
dc.date.issued2006
dc.description.abstractNowadays the need to process lots of complex multimedia databases is more frequent. Recent investigations such as MAM-SOM* and SAM-SOM* families propose the combination of Self-Organizing Maps (SOM) with Access Methods for a faster similarity information retrieval. In this investigation we present experimental results using recent Access Methods such as Slim-Tree and Omni-Sequential that show the improvement acquired by these techniques and their properties in contrast with a traditional SOM network, observing up to 90% of performance improvement. © 2006 IEEE.es_PE
dc.description.uriTrabajo académicoes_PE
dc.identifier.doihttps://doi.org/10.1109/ijcnn.2006.247326es_PE
dc.identifier.isbnurn:isbn:9780780394902es_PE
dc.identifier.issn10987576es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15916
dc.language.isoenges_PE
dc.publisherScopuses_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-40649106040&partnerID=40&md5=6e2f52a5fef6b4643272c6737b8064c3es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectAccess controles_PE
dc.subjectInformation retrievales_PE
dc.subjectLarge scale systemses_PE
dc.subjectMultimedia systemses_PE
dc.subjectSelf organizing mapses_PE
dc.subjectAccess Methodses_PE
dc.subjectPerformance improvementes_PE
dc.subjectDatabase systemses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleUsing large databases and self-organizing maps without tearses_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
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