Interactive structured output prediction: application to chromosome classification

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dc.contributorReconocimiento de Formas e Inteligencia Artificialen
dc.contributor.authorOncina, Jose-
dc.contributor.authorVidal Ruiz, Enrique-
dc.contributor.otherUniversidad de Alicante. Departamento de Lenguajes y Sistemas Informáticosen
dc.contributor.otherUniversidad Politécnica de Valencia. Instituto Tecnológico de Informáticaen
dc.date.accessioned2011-07-27T06:53:21Z-
dc.date.available2011-07-27T06:53:21Z-
dc.date.issued2011-
dc.identifier.citationONCINA, Jose; VIDAL, Enrique. "Interactive structured output prediction: application to chromosome classification". En: Pattern Recognition and Image Analysis : 5th Iberian Conference, IbPRIA 2011, Las Palmas de Gran Canaria, Spain, June 8-10, 2011 : proceedings / Jordi Vitrià, João Miguel Sanches, Mario Hernández (Eds.). Berlin : Springer, 2011. (Lecture Notes in Computer Science; 6669). ISBN 978-3-642-21256-7, pp. 256-264en
dc.identifier.isbn978-3-642-21256-7-
dc.identifier.issn0302-9743 (Print)-
dc.identifier.issn1611-3349 (Online)-
dc.identifier.urihttp://hdl.handle.net/10045/18323-
dc.description.abstractInteractive Pattern Recognition concepts and techniques are applied to problems with structured output; i.e., problems in which the result is not just a simple class label, but a suitable structure of labels. For illustration purposes (a simplification of) the problem of Human Karyotyping is considered. Results show that a) taking into account label dependencies in a karyogram significantly reduces the classical (non-interactive) chromosome label prediction error rate and b) they are further improved when interactive processing is adopted.en
dc.description.sponsorshipWork supported by the MIPRCV Spanish MICINN “Consolider Ingenio 2010” program (CSD2007-00018). Work supported by the Spanish CICyT through project TIN2009-14205-C04-01. This work was supported in part by the IST Programme of the European Community, under the PASCAL2 Network of Excellence, IST-2007-216886.en
dc.languageengen
dc.publisherSpringer Berlin / Heidelbergen
dc.rightsThe original publication is available at www.springerlink.comen
dc.subjectInteractive pattern recognitionen
dc.subjectMachine learningen
dc.subjectStructured output predictionen
dc.subjectChromosome classificationen
dc.subjectKaryotype recognitionen
dc.subject.otherLenguajes y Sistemas Informáticosen
dc.titleInteractive structured output prediction: application to chromosome classificationen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.peerreviewedsien
dc.identifier.doi10.1007/978-3-642-21257-4_32-
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-642-21257-4_32en
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/216886en
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Investigaciones financiadas por la UE

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