Skip to main content
SpringerLink
Log in
Book cover

Machine Learning and Data Mining in Pattern Recognition

First International Workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999, Proceedings

  • Conference proceedings
  • © 1999

Overview

Editors:
  1. Petra Perner

    1. Institut für Bildverarbeitung und angewandte Informatik, Leipzig, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Maria Petrou

    1. School of Electronic Engineering, Information Technology and Mathematics, University of Surrey, Guilford, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1715)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: MLDM 1999.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (17 papers)

  1. Front Matter

    Pages I-VIII
    Download chapter PDF

  2. Invited Papers

    1. Learning in Pattern Recognition

      • M. Petrou
      Pages 1-12

    2. Advances in Predictive Data Mining Methods

      • Se June Hong, Sholom M. Weiss
      Pages 13-20

  3. Neural Networks Applied to Image Processing and Recognition

    1. Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition

      • Igor N. Aizenberg, Naum N. Aizenberg, Georgy A. Krivosheev
      Pages 21-35

    2. A Dynamics of the Hough Transform and Artificial Neural Networks

      • Atsushi Imiya, Kazuhiko Kawamoto
      Pages 36-50

    3. Applications of Cellular Neural Networks for Shape from Shading Problem

      • Mariofanna Milanova, Paulo E. M. Almeida, Jun Okamoto Jr., Marcelo Godoy Simões
      Pages 51-63

  4. Learning in Image Pre-Processing and Segmentation

    1. Unsupervised Learning of Local Mean Gray Values for Image Pre-processing

      • Herbert Jahn
      Pages 64-74

    2. Neural Networks in MR Image Estimation from Sparsely Sampled Scans

      • M. Reczko, D. A. Karras, V. Mertzios, D. Graveron-Demilly, D. van Ormondt
      Pages 75-86

    3. Extraction of Local Structural Features in Images by Using a Multi-scale Relevance Function

      • Roman M. Palenichka, Maxim A. Volgin
      Pages 87-102

  6. Classification and Image Interpretation

    1. Automatic Design of Multiple Classifier Systems by Unsupervised Learning

      • Giorgio Giacinto, Fabio Roli
      Pages 131-143

    2. A Comparison between Neural Networks and Decision Trees

      • Carsten Jacobsen, Uwe Zscherpel, Petra Perner
      Pages 144-158

  7. Symbolic Learning and Neural Networks in Document Processing

    1. Symbolic Learning Techniques in Paper Document Processing

      • Oronzo Altamura, Floriana Esposito, Francesca A. Lisi, Donato Malerba
      Pages 159-173

    2. Recognition of Printed Music Score

      • Tomáš Beran, Tomáš Macek
      Pages 174-179

  9. Back Matter

    Pages 217-217
    Download chapter PDF
Back to top

Other volumes

  1. Machine Learning and Data Mining in Pattern Recognition

Keywords

About this book

The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction of learning in pattern recognition lies in the specific data themselves and the different stages at which they get processed in a pattern recognition system. This results a specific branch within the field of machine learning. At the workshop, were presented machine learning approaches for image pre-processing, image segmentation, recognition and interpretation. Machine learning systems were shown on applications such as document analysis and medical image analysis. Many databases are developed that contain multimedia sources such as images, measurement protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quality database contents can be achieved if it were possible to mine these databases for their underlying information. Such mining techniques have to consider the specific characteristic of the image sources. The field of mining multimedia databases is just starting out. We hope that our workshop can attract many other researchers to this subject.

Editors and Affiliations

  • Institut für Bildverarbeitung und angewandte Informatik, Leipzig, Germany

    Petra Perner

  • School of Electronic Engineering, Information Technology and Mathematics, University of Surrey, Guilford, UK

    Maria Petrou

Bibliographic Information

  • Book Title: Machine Learning and Data Mining in Pattern Recognition

  • Book Subtitle: First International Workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999, Proceedings

  • Editors: Petra Perner, Maria Petrou

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-48097-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1999

  • Softcover ISBN: 978-3-540-66599-1Published: 08 September 1999

  • eBook ISBN: 978-3-540-48097-6Published: 26 June 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: CCXXXII, 224

  • Topics: Artificial Intelligence, Pattern Recognition, Database Management, Image Processing and Computer Vision

Publish with us

Policies and ethics

Back to top

Search

Navigation