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|a 9783540896890
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|a da Vitoria Lobo, Niels
|e [editor]
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245 |
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|a Structural, Syntactic, and Statistical Pattern Recognition
|h Elektronische Ressource
|b Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings
|c edited by Niels da Vitoria Lobo, Takis Kasparis, Michael Georgiopoulos, Fabio Roli, James Kwok, Georgios C. Anagnostopoulos, Marco Loog
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|a 1st ed. 2008
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260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2008, 2008
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300 |
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|a XXIII, 1011 p
|b online resource
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505 |
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|a Invited Talks (Abstracts) -- SSPR -- Poster Papers -- SPR -- Poster Papers -- Invited Talks (Full Papers)
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653 |
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|a Mathematical statistics
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653 |
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|a Computer science
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653 |
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|a Computer science / Mathematics
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653 |
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|a Computer vision
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653 |
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|a Discrete Mathematics in Computer Science
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653 |
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|a Probability and Statistics in Computer Science
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653 |
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|a Computer Vision
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653 |
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|a Application software
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653 |
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|a Discrete mathematics
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653 |
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|a Computer and Information Systems Applications
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653 |
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|a Theory of Computation
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653 |
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|a Automated Pattern Recognition
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653 |
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|a Pattern recognition systems
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700 |
1 |
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|a Kasparis, Takis
|e [editor]
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700 |
1 |
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|a Georgiopoulos, Michael
|e [editor]
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700 |
1 |
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|a Roli, Fabio
|e [editor]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
0 |
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics
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028 |
5 |
0 |
|a 10.1007/978-3-540-89689-0
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856 |
4 |
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|u https://doi.org/10.1007/978-3-540-89689-0?nosfx=y
|x Verlag
|3 Volltext
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082 |
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|a 006.4
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520 |
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|a 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
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