Structural, Syntactic, and Statistical Pattern Recognition
Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings
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Beschreibung
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.
Includes supplementary material: sn.pub/extras
Autor*in
Antonio Robles-Kelly
Themen in »Structural, Syntactic, and Statistical Pattern Recognition«
complex networks machine learning optimization semantic segmentation visualization artificial intelligence biometrics database query processing and optimization graph mining graph theory and discrete mathematics image classification infromation storage and retrieval information systems multi-label classification nonlinear embedding