Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42879
DC FieldValueLanguage
dc.contributor.authorLorenzo, Javieren_US
dc.contributor.authorHernández, Marioen_US
dc.contributor.otherLorenzo-Navarro, Javier-
dc.contributor.otherLorenzo-Navarro, Javier-
dc.date.accessioned2018-11-21T11:30:39Z-
dc.date.available2018-11-21T11:30:39Z-
dc.date.issued2002en_US
dc.identifier.isbn978-3-540-36131-2en_US
dc.identifier.isbn354000131X
dc.identifier.isbn9783540001317
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/42879-
dc.description.abstractIn this paper we present a habituation mechanism which includes a modification of the Stanley's habituation model with the addition of a stage based on spectrogram to detect temporal patterns in a signal and to obtain a measure of habituation to these patterns. This means that this measure shows a saturation process as the pattern is perceived by the system and when it disappears the measure drops. The use of the spectrogram simplifies the detection of the temporal patterns which can be detected with naive techniques. We have carried on some experiments both a synthetic signal and real signals like readings of a sonar in a mobile robot.en_US
dc.languageengen_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceGarijo F.J., Riquelme J.C., Toro M. (eds) Advances in Artificial Intelligence — IBERAMIA 2002. IBERAMIA 2002. Lecture Notes in Computer Science, vol 2527. Springer, Berlin, Heidelbergen_US
dc.subject120304 Inteligencia artificialen_US
dc.titleHabituation based on spectrogram analysisen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference8th Ibero-American Conference on Artifical Intelligence (IBERAMIA 02)
dc.relation.conference8th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2002
dc.identifier.doi10.1007/3-540-36131-6_91en_US
dc.identifier.scopus18444401777-
dc.identifier.isi000189008100091-
dcterms.isPartOfAdvances In Artificial Intelligence - Iberamia 2002, Proceedings-
dcterms.sourceAdvances In Artificial Intelligence - Iberamia 2002, Proceedings[ISSN 0302-9743],v. 2527, p. 893-902-
dc.contributor.authorscopusid15042453800-
dc.contributor.authorscopusid57212239402
dc.contributor.authorscopusid7401972145-
dc.description.lastpage902-
dc.description.firstpage893-
dc.relation.volume2527-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.identifier.wosWOS:000189008100091-
dc.contributor.daisngid1190480-
dc.contributor.daisngid34923785
dc.contributor.daisngid11963222-
dc.identifier.investigatorRIDL-1972-2014-
dc.identifier.eisbn978-3-540-36131-2-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Lorenzo, J
dc.contributor.wosstandardWOS:Hernandez, M
dc.date.coverdateEnero 2002
dc.identifier.conferenceidevents120385
dc.identifier.ulpgces
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptSIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptSIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-2834-2067-
crisitem.author.orcid0000-0001-9717-8048-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameLorenzo Navarro, José Javier-
crisitem.author.fullNameHernández Tejera, Francisco Mario-
crisitem.event.eventsstartdate12-11-2002-
crisitem.event.eventsstartdate12-11-2002-
crisitem.event.eventsenddate15-11-2002-
crisitem.event.eventsenddate15-11-2002-
Appears in Collections:Actas de congresos
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