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Mathematical Methodologies in Pattern Recognition and Machine Learning

Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012

  • Conference proceedings
  • © 2013

Overview

  • Features applications of pattern recognition techniques to real-world problems with a focus on mathematical methodologies
  • Interdisciplinary research from leaders in the field
  • Contributions focus on current experimental and theoretical discoveries yielding new insights ?

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 30)

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Table of contents (12 papers)

Keywords

About this book

This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012. The conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of Pattern Recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, and experimental and theoretical studies which yield new insights that provide key advances in the field. 

 

This book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics and for differential geometers and mathematical physicists.

Editors and Affiliations

  • , Dpt. Lenguajes y Sistemas Informáticos, Jaume I University, Castellón de la Plana, Spain

    Pedro Latorre Carmona, J. Salvador Sánchez

  • Technical University of Lisbon, Lisbon, Portugal

    Ana L.N. Fred

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