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Structural, Syntactic, and Statistical Pattern Recognition

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Structural, Syntactic, and Statistical Pattern Recognition Synopsis

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. 

About This Edition

ISBN: 9783319490540
Publication date: 5th November 2016
Author: Antonio RoblesKelly
Publisher: Springer International Publishing AG
Format: Paperback
Pagination: 588 pages
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Genres: Artificial intelligence
Pattern recognition
Applied computing
Databases
Algorithms and data structures
Data mining
Expert systems / knowledge-based systems