Partially Supervised Learning

First IAPR TC3 Workshop, PSL 2011, Ulm, Germany, September 15-16, 2011, Revised Selected Papers

  • Editors
  • Friedhelm Schwenker
  • Edmondo Trentin
Conference proceedings PSL 2011
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7081)

Table of contents

  1. Front Matter
  2. Invited Talks

    1. Zhi-Hua Zhou
      Pages 1-7
    2. José Esparza, Stefan Scherer, Friedhelm Schwenker
      Pages 19-31
  3. Algorithms

  4. Applications

    1. Ludwig Lausser, Florian Schmid, Hans A. Kestler
      Pages 96-109
    2. Andreas Müller, Sven Behnke
      Pages 110-119
    3. Matthias Hillebrand, Christian Wöhler, Ulrich Kreßel, Franz Kummert
      Pages 120-127
    4. Edmondo Trentin, Luca Lusnig, Fabio Cavalli
      Pages 128-137
    5. Martin Schels, Markus Kächele, David Hrabal, Steffen Walter, Harald C. Traue, Friedhelm Schwenker
      Pages 138-147
    6. Cameron Cooper, Robert Kilmer
      Pages 148-153
    7. Doru Anastasiu Popescu
      Pages 154-158
  5. Back Matter

About these proceedings

Introduction

This book constitutes thoroughly refereed revised selected papers from the First IAPR TC3 Workshop on Partially Supervised Learning, PSL 2011, held in Ulm, Germany, in September 2011.
The 14 papers presented in this volume were carefully reviewed and selected for inclusion in the book, which also includes 3 invited talks. PSL 2011 dealt with methodological issues as well as real-world applications of PSL. The main methodological issues were: combination of supervised and unsupervised learning; diffusion learning; semi-supervised classification, regression, and clustering; learning with deep architectures; active learning; PSL with vague, fuzzy, or uncertain teaching signals; learning, or statistical pattern recognition; and PSL in cognitive systems. Applications of PSL included: image and signal processing; multi-modal information processing; sensor/information fusion; human computer interaction; data mining and Web mining; forensic anthropology; and bioinformatics.

Keywords

Web application higher education neural networks pattern recognition self organizing maps

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-28258-4
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-28257-7
  • Online ISBN 978-3-642-28258-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book