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© 2020

Pattern Recognition Applications and Methods

8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers

  • Maria De Marsico
  • Gabriella Sanniti di Baja
  • Ana Fred
Conference proceedings ICPRAM 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11996)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11996)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Theory and Methods

    1. Front Matter
      Pages 1-1
    2. Sahar Qaadan, Abhijeet Pendyala, Merlin Schüler, Tobias Glasmachers
      Pages 23-47
    3. Arthur Chambon, Frédéric Lardeux, Frédéric Saubion, Tristan Boureau
      Pages 48-70
    4. Naoya Higuchi, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
      Pages 71-92
  3. Applications

    1. Front Matter
      Pages 93-93
    2. Dieter De Paepe, Diego Nieves Avendano, Sofie Van Hoecke
      Pages 95-118
    3. Marcus Valtonen Örnhag, Mårten Wadenbäck
      Pages 119-135
    4. Mirko Marras, Pedro A. Marín-Reyes, Javier Lorenzo-Navarro, Modesto Castrillón-Santana, Gianni Fenu
      Pages 136-157
  4. Back Matter
    Pages 159-159

About these proceedings

Introduction

This book contains revised and extended versions of selected papers from the 8th International Conference on Pattern Recognition, ICPRAM 2019, held in Prague, Czech Republic, in February 2019. The 25 full papers presented together 52 short papers and 32 poster sessions were carefully reviewed and selected from 138 initial submissions.

Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

Keywords

Pattern Recognition Applications Pattern Recognition Methods Theory and Methods Applications Bayesian Models Gaussian Processes Neural Networks Fuzzy Logic Multi-agent Learning Natural Language Processing Information retrieval Web Applications Image-based Modelling

Editors and affiliations

  • Maria De Marsico
    • 1
  • Gabriella Sanniti di Baja
    • 2
  • Ana Fred
    • 3
  1. 1.Department of Computer ScienceSapienza University of RomeRomeItaly
  2. 2.ICARConsiglio Nazionale delle RicercheNaplesItaly
  3. 3.Instituto de TelecomunicaçõesLisbon UniversityLisbonPortugal

Bibliographic information

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