Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Robles-Kelly, Antonio (Επιμελητής έκδοσης), Loog, Marco (Επιμελητής έκδοσης), Biggio, Battista (Επιμελητής έκδοσης), Escolano, Francisco (Επιμελητής έκδοσης), Wilson, Richard (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: Lecture Notes in Computer Science, 10029
• Θέματα: Computer science.; Algorithms.; Database management.; Data mining.; Artificial intelligence.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Information Systems Applications (incl. Internet).; Database Management.; Algorithm Analysis and Problem Complexity.; Data Mining and Knowledge Discovery.
• Φυσική περιγραφή: XIII, 588 p. 167 illus. online resource.
• ISBN: 9783319490557
• ISSN: 0302-9743 ;

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. .