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Pattern Recognition Applications and Methods

7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers

  • Maria De Marsico
  • Gabriella Sanniti di Baja
  • Ana Fred
Conference proceedings ICPRAM 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11351)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11351)

Table of contents

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

    1. Front Matter
      Pages 1-1
    2. Julia Lasserre, Christian Bracher, Roland Vollgraf
      Pages 3-26
    3. Shikha Gupta, Manjush Mangal, Akshay Mathew, Dileep Aroor Dinesh, Arnav Bhavsar, Veena Thenkanidiyoor
      Pages 44-64
    4. Cornelius Glackin, Julie Wall, Gérard Chollet, Nazim Dugan, Nigel Cannings
      Pages 89-100
    5. Faraj Alhwarin, Alexander Ferrein, Ingrid Scholl
      Pages 101-115
    6. Gabrielle Flood, Anders Heyden, Kalle Åström
      Pages 116-138
  3. Applications

    1. Front Matter
      Pages 139-139
    2. Marcin Kopaczka, Marco Saggiomo, Moritz Güttler, Kevin Kielholz, Dorit Merhof
      Pages 141-163
    3. Sony S. Allappa, Veena Thenkanidiyoor, Dileep Aroor Dinesh
      Pages 164-185
    4. Danilo Avola, Luigi Cinque, Gian Luca Foresti, Daniele Pannone
      Pages 186-201
  4. Back Matter
    Pages 203-203

About these proceedings

Introduction

This book contains revised and extended versions of selected papers from the 7th International Conference on Pattern Recognition, ICPRAM 2018, held in Porto, Portugal, in January 2018. The 10 full papers presented were carefully reviewed and selected from 102 initial submissions.

The core of ICPRAM  is intended to include theoretical studies yielding new insights in Pattern Recognition methods, as well as experimental validation and concrete application of Pattern Recognition techniques to real-world problems.


Keywords

Computer Science Informatics Conference Proceedings Research Applications Artificial Intelligence Computer Vision Signal Processing Artificial Intelligence Signal Processing

Editors and affiliations

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

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-05499-1
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-05498-4
  • Online ISBN 978-3-030-05499-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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