Mathematical Methodologies in Pattern Recognition and Machine Learning

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

  • Pedro Latorre Carmona
  • J. Salvador Sánchez
  • Ana L.N. Fred
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 30)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Thomas Lansdall-Welfare, Ilias Flaounas, Nello Cristianini
    Pages 19-32
  3. Miguel Almeida, Ricardo Vigário, José Bioucas-Dias
    Pages 51-66
  4. Sakinah A. Pitchay, Ata Kabán
    Pages 83-98
  5. Martin Kleinsteuber, Simon Hawe
    Pages 99-110
  6. Peter Kluegl, Martin Toepfer, Florian Lemmerich, Andreas Hotho, Frank Puppe
    Pages 111-125
  7. K. Triantafyllopoulos, S. Han
    Pages 127-147
  8. Si Yong Yeo, Xianghua Xie, Igor Sazonov, Perumal Nithiarasu
    Pages 149-162
  9. Carlos Santiago, Jorge S. Marques, Jacinto C. Nascimento
    Pages 163-178
  10. Bartlomiej W. Papiez, Bogdan J. Matuszewski, Lik-Kwan Shark, Wei Quan
    Pages 179-194

About these proceedings

Introduction

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.

Keywords

Hierarchical Sparse Coding ICPRAM 2012 Machine Learning Pattern Recognition Support Vector Machines

Editors and affiliations

  • Pedro Latorre Carmona
    • 1
  • J. Salvador Sánchez
    • 2
  • Ana L.N. Fred
    • 3
  1. 1., Dpt. Lenguajes y Sistemas InformáticosJaume I UniversityCastellón de la PlanaSpain
  2. 2., Dpt. Lenguajes y Sistemas InformáticosJaume I UniversityCastellón de la PlanaSpain
  3. 3.Technical University of LisbonLisbonPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-5076-4
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-5075-7
  • Online ISBN 978-1-4614-5076-4
  • Series Print ISSN 2194-1009
  • Series Online ISSN 2194-1017
  • About this book