International Conference on Pattern Recognition Applications and Methods

Pattern Recognition: Applications and Methods

4th International Conference, ICPRAM 2015, Lisbon, Portugal, January 10-12, 2015, Revised Selected Papers

  • Ana Fred
  • Maria De Marsico
  • Mário Figueiredo
Conference proceedings

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9493)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 9493)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Invited Paper

    1. Front Matter
      Pages 1-1
    2. Luís A. Alexandre
      Pages 3-14
  3. Theory and Methods

    1. Front Matter
      Pages 15-15
    2. Marko Rak, Tim König, Johannes Steffen, Dirk Joachim Lehmann, Klaus-Dietz Tönnies
      Pages 17-34
    3. Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd
      Pages 35-51
    4. Abdalbassir Abou-Elailah, Valerie Gouet-Brunet, Isabelle Bloch
      Pages 89-106
    5. Jan Gaura, Eduard Sojka
      Pages 107-123
  4. Applications

    1. Front Matter
      Pages 141-141
    2. Gautier Bideault, Luc Mioulet, Clément Chatelain, Thierry Paquet
      Pages 143-157
    3. Eyal Braunstain, Isak Gath
      Pages 158-171
    4. Ngoc-Trung Tran, Fakhreddine Ababsa, Maurice Charbit
      Pages 185-198
    5. Wei Quan, Bogdan J. Matuszewski, Lik-Kwan Shark
      Pages 199-212
    6. Angran Lin, Xuhui Jia, Kwok Ping Chan
      Pages 213-228
    7. Yuji Iwahori, Seiya Tsuda, Robert J. Woodham, M. K. Bhuyan, Kunio Kasugai
      Pages 229-246

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Pattern Recognition, ICPRAM 2015, held in Lisbon, Portugal, in January 2015.

 

The 20 revised full papers were carefully reviewed and selected from 145 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 Bayesian models Classification Computer vision Data mining Face recognition Fuzzy logic Gaussian processes Image analysis Image segmentation Information retrieval Machine learning Modeling Multi-agent systems Neural networks Natural Language Processing (NLP) Pattern recognition Scene recognition

Editors and affiliations

  • Ana Fred
    • 1
  • Maria De Marsico
    • 2
  • Mário Figueiredo
    • 3
  1. 1.Technical University of LisbonLisbonPortugal
  2. 2.Sapienza Università di RomaRomaItaly
  3. 3.Instituto Superior TécnicoInstituto de TelecomunicaçõesLisbonPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-27677-9
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-27676-2
  • Online ISBN 978-3-319-27677-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book