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Pattern Recognition Applications and Methods

Third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014, Revised Selected Papers

  • Ana Fred
  • Maria De Marsico
  • Antoine Tabbone
Conference proceedings ICPRAM 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9443)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 9443)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Theory and Methods

    1. Front Matter
      Pages 1-1
    2. Jonathan Smets, Manfred Jaeger
      Pages 3-18
    3. Blaise Hanczar, Mohamed Nadif
      Pages 19-34
    4. Michal Krumnikl, Eduard Sojka, Jan Gaura
      Pages 35-49
    5. Ryuichi Ozaki, Kazunori Onoguchi
      Pages 50-61
    6. Takumi Kobayashi, Kenji Nishida
      Pages 62-76
    7. Mori Gamboni, Abhijai Garg, Oleg Grishin, Seung Man Oh, Francis Sowani, Anthony Spalvieri-Kruse et al.
      Pages 110-129
  3. Applications

    1. Front Matter
      Pages 131-131
    2. Dennis Medved, Fangyuan Jiang, Peter Exner, Magnus Oskarsson, Pierre Nugues, Kalle Åström
      Pages 133-145
    3. Ujjwal Verma, Florence Rossant, Isabelle Bloch, Julien Orensanz, Denis Boisgontier
      Pages 162-178
    4. Kristof Van Beeck, Toon Goedemé
      Pages 179-195
    5. Fernanda Rodríguez, Federico Lecumberry, Alicia Fernández
      Pages 196-205
    6. Leonardo Chang, Miguel Arias-Estrada, José Hernández-Palancar, L. Enrique Sucar
      Pages 206-221
    7. Patrick Jamet, Stephen Chai Kheh Chew, Antoine Fagette, Jean-Yves Dufour, Daniel Racoceanu
      Pages 237-251
    8. Alex Yong-Sang Chia, Keita Yaegashi, Soh Masuko
      Pages 252-262
    9. Lionel Prevost, Philippe Phothisane, Erwan Bigorgne
      Pages 263-278
  4. Back Matter
    Pages 279-279

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Pattern Recognition, ICPRAM 2014, held in Angers, France, in March 2014.

The 18 revised full papers were carefully reviewed and selected from 179 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

3D reconstruction computer vision data mining distributed features machine learning biometrics coarse-to-fine search discriminative learning ensemble methods face analysis fingerprint recognition gender estimation GPU image decolorization image segmentation kernel methods multiple clustering semantic parsing shape matching support vector machines

Editors and affiliations

  • Ana Fred
    • 1
  • Maria De Marsico
    • 2
  • Antoine Tabbone
    • 3
  1. 1.Instituto de TelecomunicaçõesLisboaPortugal
  2. 2.Computer ScienceSapienza University of RomeRomeItaly
  3. 3.LORIA-UMR 7503Vandoevre-lès-NancyFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-25530-9
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-25529-3
  • Online ISBN 978-3-319-25530-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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