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Pattern Recognition Applications and Methods

5th International Conference, ICPRAM 2016, Rome, Italy, February 24-26, 2016, Revised Selected Papers

  • Ana Fred
  • Maria De Marsico
  • Gabriella Sanniti di Baja
Conference proceedings ICPRAM 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10163)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10163)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Rocco Tripodi, Marcello Pelillo
    Pages 20-42
  3. Edith Grall-Maës, Duc Tung Dao
    Pages 43-59
  4. Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier
    Pages 88-103
  5. Mina Mirshahi, Vahid Partovi Nia, Luc Adjengue
    Pages 104-120
  6. Afra’a Ahmad Alyosef, Andreas Nürnberger
    Pages 121-138
  7. Julia Richter, Christian Wiede, Enes Dayangac, Ahsan Shahenshah, Gangolf Hirtz
    Pages 139-155
  8. Paavo Nevalainen, M. Hashem Haghbayan, Antti Kauhanen, Jonne Pohjankukka, Mikko-Jussi Laakso, Jukka Heikkonen
    Pages 156-174
  9. Anne C. van Rossum, Hai Xiang Lin, Johan Dubbeldam, H. Jaap van den Herik
    Pages 175-193
  10. Humberto Sossa, Hermilo Sánchez
    Pages 194-211
  11. Junki Ishizuka, Kazunori Onoguchi
    Pages 212-229
  12. V. Renò, A. Cardellicchio, T. Politi, C. Guaragnella, T. D’Orazio
    Pages 230-242
  13. Back Matter
    Pages 243-243

About these proceedings

Introduction

This book contains revised and extended versions of selected papers from the 5th International Conference on Pattern Recognition, ICPRAM 2016, held in Rome, Italy, in February 2016.

The 13 full papers were carefully reviewed and selected from 125 initial submissions and describe up-to-date applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance pattern recognition methods.

Keywords

Pattern recognition applications and methods Bayesian models Gaussian processes Neural networks Fuzzy logic Multi-agent learning Natural language processing Information retrieval Web applications Image-based modelling

Editors and affiliations

  • Ana Fred
    • 1
  • Maria De Marsico
    • 2
  • Gabriella Sanniti di Baja
    • 3
  1. 1.University of LisbonLisbonPortugal
  2. 2.Sapienza University of RomeRomeItaly
  3. 3.ICAR-CNRNaplesItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-53375-9
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-53374-2
  • Online ISBN 978-3-319-53375-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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