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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Robles-Kelly, Antonio (Editor), Loog, Marco (Editor), Biggio, Battista (Editor), Escolano, Francisco (Editor), Wilson, Richard (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Lecture Notes in Computer Science, 10029
• Subjects: 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.

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 Techn...

Table of Contents:

• 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. .