Advances in Artificial Intelligence 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011, Proceedings, Part I /

The two-volume set LNAI 7094 and LNAI 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully reviewed and selected from numerous s...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Batyrshin, Ildar (Editor ), Sidorov, Grigori (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Lecture Notes in Artificial Intelligence, 7094
Temas:
Artificial intelligence.
Image processing-Digital techniques.
Computer vision.
Application software.
Pattern recognition systems.
Data mining.
Artificial Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer Vision.
Computer and Information Systems Applications.
Automated Pattern Recognition.
Data Mining and Knowledge Discovery.
Acceso en línea:Texto Completo
Descripción
Sumario:The two-volume set LNAI 7094 and LNAI 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully reviewed and selected from numerous submissions. The first volume includes 50 papers representing the current main topics of interest for the AI community and their applications. The papers are organized in the following topical sections: automated reasoning and multi-agent systems; problem solving and machine learning; natural language processing; robotics, planning and scheduling; and medical applications of artificial intelligence.
Descripción Física:XXV, 596 p. online resource.
ISBN:9783642253249
ISSN:2945-9141 ;

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