Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/42864
Campo DC Valoridioma
dc.contributor.authorDéniz, Oscaren_US
dc.contributor.authorBueno, Gloriaen_US
dc.contributor.authorCastrillón, Modestoen_US
dc.contributor.authorLorenzo, Javieren_US
dc.contributor.authorAntón, L.en_US
dc.contributor.authorHernández, M.en_US
dc.date.accessioned2018-11-21T11:27:03Z-
dc.date.available2018-11-21T11:27:03Z-
dc.date.issued2010en_US
dc.identifier.isbn978-1-61520-893-7en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/42864-
dc.description.abstractSoft computing aims at using tricks or shortcuts that do not provide optimal solutions but useful approximations that can be computed at a reasonable cost. Such approximations often come in the form of heuristics and "rules of thumb." Computer vision relies heavily on heuristics, being a simple example the detection of faces by detecting skin color. Another approach that may also be considered as heuristics is the use of inductive learning, where the idea is to emulate humans in the sense that achieving certain skills require gradual learning. Thus, we would not make an effort to articulate solutions as equations, rules or algorithms. The solution would instead be sought automatically by feeding the system with training examples that would allow it to classify new samples. This chapter describes two successful applications of such soft computing approaches in the field of human-computer interaction, showing how the clever use of heuristics and domain restrictions can help to find solutions for the most difficult problems in this field.en_US
dc.languageengen_US
dc.publisherInformation Science Referenceen_US
dc.sourceSoft Computing Methods for Practical Environment Solutions: Techniques and Studies / edited by Marcos Gestal Pose, Daniel Rivero Cebrián, p. 30-44, (Diciembre 2010)en_US
dc.subject120304 Inteligencia artificialen_US
dc.titleSoft computing techniques for human-computer interactionen_US
dc.typeinfo:eu-repo/semantics/bookParten_US
dc.typeBookParten_US
dc.identifier.doi10.4018/978-1-61520-893-7.ch003en_US
dc.identifier.scopus2-s2.0-84901537022-
dc.identifier.scopus84901537022-
dc.contributor.authorscopusid8562422200-
dc.contributor.authorscopusid7003988757-
dc.contributor.authorscopusid22333278500-
dc.contributor.authorscopusid15042453800-
dc.contributor.authorscopusid35069028500-
dc.contributor.authorscopusid7401972145-
dc.contributor.authorscopusid57212239402-
dc.description.lastpage44en_US
dc.description.firstpage30en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Capítulo de libroen_US
dc.identifier.eisbn9781615208944-
dc.utils.revisionen_US
dc.date.coverdateDiciembre 2010en_US
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: 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.orcid0000-0002-8673-2725-
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.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameCastrillón Santana, Modesto Fernando-
crisitem.author.fullNameLorenzo Navarro, José Javier-
crisitem.author.fullNameHernández Tejera, Francisco Mario-
Colección:Capítulo de libro
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