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Structural, Syntactic, and Statistical Pattern Recognition

Antonio Robles-Kelly
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      This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR. The 51 full papers presented were carefully reviewed and selected from 68 submissions. They are organized in the following topical sections: dimensionality reduction, manifold learning and embedding methods; dissimilarity representations; graph-theoretic methods; model selection, classification and clustering; semi and fully supervised learning methods; shape analysis; spatio-temporal pattern recognition; structural matching; text and document analysis. 
      Format: Paperback / softback CONTRIBUTORS: Antonio Robles-Kelly EAN: 9783319490540 COUNTRY: Switzerland PAGES: WEIGHT: 9007 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2016-11-05 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Database Administration & Management, COMPUTERS / Information Technology, COMPUTERS / Programming / Algorithms WIDTH: 155 cm SPINE:

      Book Themes:

      Algorithms and data structures, Databases, Data mining, Applied computing, Artificial intelligence, Expert systems / knowledge-based systems, Pattern recognition

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      This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR. The 51 full papers presented were carefully reviewed and selected from 68 submissions. They are organized in the following topical sections: dimensionality reduction, manifold learning and embedding methods; dissimilarity representations; graph-theoretic methods; model selection, classification and clustering; semi and fully supervised learning methods; shape analysis; spatio-temporal pattern recognition; structural matching; text and document analysis. 
      Format: Paperback / softback CONTRIBUTORS: Antonio Robles-Kelly EAN: 9783319490540 COUNTRY: Switzerland PAGES: WEIGHT: 9007 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2016-11-05 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Database Administration & Management, COMPUTERS / Information Technology, COMPUTERS / Programming / Algorithms WIDTH: 155 cm SPINE:

      Book Themes:

      Algorithms and data structures, Databases, Data mining, Applied computing, Artificial intelligence, Expert systems / knowledge-based systems, Pattern recognition

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      Be the first to write a review
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