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Lecture Notes in Artificial Intelligence

Machine Learning and Data Mining in Pattern Recognition

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

Editors: Perner, Petra, Petrou, Maria (Eds.)

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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.

Table of contents (17 chapters)

Table of contents (17 chapters)
  • Learning in Pattern Recognition

    Pages 1-12

    Petrou, M.

  • Advances in Predictive Data Mining Methods

    Pages 13-20

    Hong, Se June (et al.)

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

    Pages 21-35

    Aizenberg, Igor N. (et al.)

  • A Dynamics of the Hough Transform and Artificial Neural Networks

    Pages 36-50

    Imiya, Atsushi (et al.)

  • Applications of Cellular Neural Networks for Shape from Shading Problem

    Pages 51-63

    Milanova, Mariofanna (et al.)

Buy this book

eBook $74.99
price for USA in USD (gross)
  • ISBN 978-3-540-48097-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA in USD
  • ISBN 978-3-540-66599-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

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 Artificial Intelligence
Series Volume
1715
Copyright
1999
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-48097-6
DOI
10.1007/3-540-48097-8
Softcover ISBN
978-3-540-66599-1
Edition Number
1
Number of Pages
CCXXXII, 224
Topics