Neural Information Processing. Models and Applications 17th International Conference, ICONIP 2010, Sydney, Australia, November 21-25, 2010, Proceedings, Part II /

The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010. The 146 regular session papers presented were carefully reviewed and selected from 470 submissions....

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Wong, Kevin K.W (Editor ), Mendis, B. Sumudu U. (Editor ), Bouzerdoum, Abdesselam (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Theoretical Computer Science and General Issues, 6444
Temas:
Computer science.
Artificial intelligence.
Pattern recognition systems.
Data mining.
Computer simulation.
Computer vision.
Theory of Computation.
Artificial Intelligence.
Automated Pattern Recognition.
Data Mining and Knowledge Discovery.
Computer Modelling.
Computer Vision.
Acceso en línea:Texto Completo
Descripción
Sumario:The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010. The 146 regular session papers presented were carefully reviewed and selected from 470 submissions. The papers of part I are organized in topical sections on neurodynamics, computational neuroscience and cognitive science, data and text processing, adaptive algorithms, bio-inspired algorithms, and hierarchical methods. The second volume is structured in topical sections on brain computer interface, kernel methods, computational advance in bioinformatics, self-organizing maps and their applications, machine learning applications to image analysis, and applications.
Descripción Física:XXVI, 740 p. 315 illus., 150 illus. in color. online resource.
ISBN:9783642175343
ISSN:2512-2029 ;

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