Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings: Lecture Notes in Computer Science, cartea 5342
Editat de Niels da Vitoria Lobo, Takis Kasparis, Michael Georgiopoulos, Fabio Roli, James Kwok, Georgios C. Anagnostopoulos, Marco Loogen Limba Engleză Paperback – 24 noi 2008
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Specificații
ISBN-13: 9783540896883
ISBN-10: 3540896880
Pagini: 1040
Ilustrații: XXIII, 1011 p.
Dimensiuni: 155 x 235 x 38 mm
Greutate: 1.15 kg
Ediția:2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540896880
Pagini: 1040
Ilustrații: XXIII, 1011 p.
Dimensiuni: 155 x 235 x 38 mm
Greutate: 1.15 kg
Ediția:2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Invited Talks (Abstracts).- SSPR.- Poster Papers.- SPR.- Poster Papers.- Invited Talks (Full Papers).
Textul de pe ultima copertă
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.
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.