Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings /

This book constitutes the refereed proceedings of the 12th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2008 and the 7th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2008, held jointly in Orlando, FL, USA, in December 2008 as a satellit...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: da Vitoria Lobo, Niels (Editor ), Kasparis, Takis (Editor ), Georgiopoulos, Michael (Editor ), Roli, Fabio (Editor ), Kwok, James (Editor ), Anagnostopoulos, Georgios C. (Editor ), Loog, Marco (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 5342
Temas:
Pattern recognition systems.
Computer science.
Application software.
Computer science-Mathematics.
Discrete mathematics.
Mathematical statistics.
Computer vision.
Automated Pattern Recognition.
Theory of Computation.
Computer and Information Systems Applications.
Discrete Mathematics in Computer Science.
Probability and Statistics in Computer Science.
Computer Vision.
Acceso en línea:Texto Completo
Descripción
Sumario:This book constitutes the refereed proceedings of the 12th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2008 and the 7th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2008, held jointly in Orlando, FL, USA, in December 2008 as a satellite event of the 19th International Conference of Pattern Recognition, ICPR 2008. The 56 revised full papers and 42 revised poster papers presented together with the abstracts of 4 invited papers were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on graph-based methods, probabilistic and stochastic structural models for PR, image and video analysis, shape analysis, kernel methods, recognition and classification, applications, ensemble methods, feature selection, density estimation and clustering, computer vision and biometrics, pattern recognition and applications, pattern recognition, as well as feature selection and clustering.
Descripción Física:XXIII, 1011 p. online resource.
ISBN:9783540896890

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