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Pattern Recognition

40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings

  • Thomas Brox
  • Andrés Bruhn
  • Mario Fritz
Conference proceedings GCPR 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11269)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11269)

Table of contents

  1. Oral Session 4: Learning II

    1. Thomas M. Hehn, Fred A. Hamprecht
      Pages 612-627
    2. Manuel Martinez, Rainer Stiefelhagen
      Pages 628-637
    3. Gianni Franchi, Angela Yao, Andreas Kolb
      Pages 638-649
    4. Björn Barz, Christoph Käding, Joachim Denzler
      Pages 650-666
  2. Oral Session 5: Optimization and Clustering

    1. Front Matter
      Pages 667-667
    2. Jón Arnar Tómasson, Peter Ochs, Joachim Weickert
      Pages 669-681
    3. Artjom Zern, Matthias Zisler, Freddie Åström, Stefania Petra, Christoph Schnörr
      Pages 698-713
  3. Back Matter
    Pages 715-717

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 40th German Conference on Pattern Recognition, GCPR 2018, held in Stuttgart, Germany, in October 2018.

The 48 revised full papers presented were carefully reviewed and selected from 118 submissions. The German Conference on Pattern Recognition is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series, which has been renamed to GCPR in 2013 to reflect its increasing internationalization. In 2018 in Stuttgart, the conference series celebrated its 40th anniversary.

Keywords

artificial intelligence classification computer vision estimation image analysis image coding image processing image quality image reconstruction image segmentation imaging systems motion estimation neural networks object recognition pattern recognition semantics signal processing Support Vector Machines (SVM)

Editors and affiliations

  • Thomas Brox
    • 1
  • Andrés Bruhn
    • 2
  • Mario Fritz
    • 3
  1. 1.University of FreiburgFreiburg im BreisgauGermany
  2. 2.University of StuttgartStuttgartGermany
  3. 3.CISPA Helmholtz Center for Information SecuritySaarbrückenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-12939-2
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-12938-5
  • Online ISBN 978-3-030-12939-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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