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Structural, Syntactic, and Statistical Pattern Recognition

Name: Structural, Syntactic, and Statistical Pattern Recognition
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540896883
Price: 105.32 EUR
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Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings

Автор: Niels Da Vitoria Lobo, Takis Kasparis, Fabio Roli, James T. Kwik, Michael Georgiopoulos, Georgios C. Anagnostopoulos

Език:

Корици: С меки корици

Издател: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Наличност: Външен склад

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This book constitutes the refereed proceedings of the 12th International Workshop on Structural and...

Информация за книгата

Автор

Niels Da Vitoria Lobo, Takis Kasparis, Fabio Roli, James T. Kwik, Michael Georgiopoulos, Georgios C. Anagnostopoulos

Език

Английски език

Корици

Книга - С меки корици

Издадена

2008

страници

1011

EAN

9783540896883

ISBN

3540896880

Enbook ID

01571059

Издател

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Теглоt

1539

Размери

155 x 235 x 34

Пълно описание

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.