9783540699385 - artificial neural networks in pattern recognition: third iapr tc3 workshop, annpr 2008 paris, france, july 2-4, 2008, proceedings: 5064 (lecture notes in computer science, 5064) (8 resultados)
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Artificial Neural Networks in Pattern Recognition: Third Iapr Tc3 Workshop, Annpr 2008 Paris, France, July 2-4, 2008, Proceedings
Prevost, Lionel (Editor)/ Marinai, Simone (Editor)/ Schwenker, Friedhelm (Editor)
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Paperback. Condición: Brand New. 2008 edition. 318 pages. 9.21x6.14x0.87 inches. In Stock.
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Taschenbuch. Condición: Neu. Artificial Neural Networks in Pattern Recognition | Third IAPR TC3 Workshop, ANNPR 2008 Paris, France, July 2-4, 2008, Proceedings | Lionel Prevost (u. a.) | Taschenbuch | ix | Englisch | 2008 | Springer | EAN 9783540699385 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17,… 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - TheThirdIAPRTC3WorkshoponArti cialNeuralNetworksinPatternRec- nition, ANNPR 2008, was held at Pierre and Marie Curie University in Paris (France), July 2 4, 2008. The workshop was organized by the Technical C- mittee on Neural Networks and Computat…ional Intelligence (TC3) that is one of the 20 TCs of the International Association for Pattern Recognition (IAPR). The scope of TC3 includes computational intelligence approaches, such as fuzzy systems, evolutionary computing and arti cial neural networks and their use in various pattern recognition applications. ANNPR 2008 followed the success of the previous workshops: ANNPR 2003 held at the University of Florence (Italy) andANPPR 2006held at ReisensburgCastle, Universityof Ulm (Germany).All the workshops featured a single-track program including both oral sessions and posters with a focus on active participation from every participant. Inrecentyears,the eld ofneuralnetworkshasmaturedconsiderablyinboth methodologyandreal-worldapplications.Asre ectedinthisbook,arti cialn- ral networks in pattern recognition combine many ideas from machine learning, advanced statistics, signal and image processing for solving complex real-world pattern recognition problems. High quality across such a diverse eld of research can only be achieved through a rigorous and selective review process. For this workshop, 57 papers were submitted out of which 29 were selected for inclusion in the proceedings. The oral sessions included 18 papers, while 11 contributions were presented as posters. ANNPR 2008 featured research works in the areas of supervised and unsupervised learning, multiple classi er systems, pattern recognition in signal and image processing, and feature selection.
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 318 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Idioma: Inglés
Editorial: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2008
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -TheThirdIAPRTC3WorkshoponArti cialNeuralNetworksinPatternRec- nition, ANNPR 2008, was held at Pierre and Marie Curie University in Paris (France), July 2 4, 2008. The workshop was organized by the Technical C- mittee on Neural Netwo…rks and Computational Intelligence (TC3) that is one of the 20 TCs of the International Association for Pattern Recognition (IAPR). The scope of TC3 includes computational intelligence approaches, such as fuzzy systems, evolutionary computing and arti cial neural networks and their use in various pattern recognition applications. ANNPR 2008 followed the success of the previous workshops: ANNPR 2003 held at the University of Florence (Italy) andANPPR 2006held at ReisensburgCastle, Universityof Ulm (Germany).All the workshops featured a single-track program including both oral sessions and posters with a focus on active participation from every participant. Inrecentyears,the eld ofneuralnetworkshasmaturedconsiderablyinboth methodologyandreal-worldapplications.Asre ectedinthisbook,arti cialn- ral networks in pattern recognition combine many ideas from machine learning, advanced statistics, signal and image processing for solving complex real-world pattern recognition problems. High quality across such a diverse eld of research can only be achieved through a rigorous and selective review process. For this workshop, 57 papers were submitted out of which 29 were selected for inclusion in the proceedings. The oral sessions included 18 papers, while 11 contributions were presented as posters. ANNPR 2008 featured research works in the areas of supervised and unsupervised learning, multiple classi er systems, pattern recognition in signal and image processing, and feature selection. 322 pp. Englisch.
