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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44026
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dc.contributor.authorTravieso Gonzalez, Carlos M.en_US
dc.contributor.authorTicay-Rivas, Jaime Robertoen_US
dc.contributor.authorDel Pozo-Baños, Marcosen_US
dc.contributor.authorEberhard, William G.en_US
dc.contributor.authorAlonso-Hernández, Jesús B.en_US
dc.date.accessioned2018-11-21T19:40:05Z-
dc.date.available2018-11-21T19:40:05Z-
dc.date.issued2012en_US
dc.identifier.isbn9783642332746en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/44026-
dc.description.abstractThis work presents an improvement of the automatic and supervised spider identification approach based on biometric spider web analysis. We have used as feature extractor, a Joint Approximate Diagonalization of Eigen-matrixes Independent Component Analysis applying to a binary image with a reduced size (20×20 pixels) from the colour original image. Finally, we have applied a least square support vector machine as classifier, reaching over 98.15% in our hold-50%-out validation. This system is making easier Biologists’ tasks in this field, because they can have a second opinion or have a tool for this work.en_US
dc.languagespaen_US
dc.publisher0302-9743en_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 7441 LNCS, p. 438-446en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherSpider webs , spider classification ,independent component analysis , support vector machineen_US
dc.titleImproving spider recognition based on biometric web analysisen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012
dc.identifier.doi10.1007/978-3-642-33275-3_54
dc.identifier.scopus84865602522-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid37862263900-
dc.contributor.authorscopusid35241841700-
dc.contributor.authorscopusid7007175295-
dc.contributor.authorscopusid24774957200-
dc.description.lastpage446-
dc.description.firstpage438-
dc.relation.volume7441 LNCS-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.date.coverdateSeptiembre 2012
dc.identifier.conferenceidevents121430
dc.identifier.ulpgcSíes
dc.description.sjr0,323
dc.description.sjrqQ3
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate03-09-2012-
crisitem.event.eventsenddate06-09-2012-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
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