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Interactive structured output prediction: Application to chromosome classification

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Interactive structured output prediction: Application to chromosome classification

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dc.contributor.author Oncina Carratalá, José es_ES
dc.contributor.author Vidal, Enrique es_ES
dc.date.accessioned 2014-06-09T08:36:44Z
dc.date.issued 2011
dc.identifier.isbn 978-3-642-21256-7
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/37976
dc.description.abstract Interactive 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. c Springer-Verlag Berlin Heidelberg 2011 es_ES
dc.description.sponsorship Work 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.
dc.format.extent 9 es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Lecture Notes in Computer Science es_ES
dc.relation.ispartof Pattern Recognition and Image Analysis es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;6669
dc.rights Reserva de todos los derechos es_ES
dc.subject Interactive pattern recognition es_ES
dc.subject Machine learning es_ES
dc.subject Structured output prediction es_ES
dc.subject Chromosome classification es_ES
dc.subject Karyotype recognition es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Interactive structured output prediction: Application to chromosome classification es_ES
dc.type Capítulo de libro es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1007/978-3-642-21257-4_32
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/216886/EU/Pattern Analysis, Statistical Modelling and Computational Learning 2/ en_EN
dc.relation.projectID info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Visionm/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-14205-C04-01/ES/Tecnicas Interactivas Y Adaptativas Para Sistemas Automaticos De Reconocimiento, Aprendizaje Y Percepcion/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica es_ES
dc.description.bibliographicCitation Oncina Carratalá, J.; Vidal, E. (2011). Interactive structured output prediction: Application to chromosome classification. En Lecture Notes in Computer Science. Springer Verlag (Germany). 6669:256-264. https://doi.org/10.1007/978-3-642-21257-4_32 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 5th Iberian Conference, IbPRIA 2011 es_ES
dc.relation.conferencedate June 8-10, 2011 es_ES
dc.relation.conferenceplace Las Palmas de Gran Canaria, Spain es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-642-21257-4_32 es_ES
dc.description.upvformatpinicio 256 es_ES
dc.description.upvformatpfin 264 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 6669 es_ES
dc.relation.senia 215338
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Comisión Interministerial de Ciencia y Tecnología
dc.contributor.funder European Commission
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