Machine learning and data mining in pattern recognition : first international workshop, MLDM 99, Leipzig, Germany, September 16 18, 1999 : proceedings

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...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Hoofdauteur: Perner, Petra, 1958-
Coauteur: International Conference on Machine Learning and Data Mining in Pattern Recognition (Auteur)
Andere auteurs: Petrou, Maria, 1953-2012 (Publishing director)
Formaat: Livre numérique
Taal:Anglais
Gepubliceerd in: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Reeks:Lecture notes in computer science. Lecture notes in artificial intelligence 1715
Onderwerpen:
Online toegang:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Opmerking: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Machine Learning and Data Mining in Pattern Recognition, Texte imprimé, 9783540665991
• Machine Learning and Data Mining in Pattern Recognition, Texte imprimé, 9783662212653
Inhoudsopgave:
  • Invited Papers
  • Learning in Pattern Recognition
  • Advances in Predictive Data Mining Methods
  • Neural Networks Applied to Image Processing and Recognition
  • Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition
  • A Dynamics of the Hough Transform and Artificial Neural Networks
  • Applications of Cellular Neural Networks for Shape from Shading Problem
  • Learning in Image Pre-Processing and Segmentation
  • Unsupervised Learning of Local Mean Gray Values for Image Pre-processing
  • Neural Networks in MR Image Estimation from Sparsely Sampled Scans
  • Extraction of Local Structural Features in Images by Using a Multi-scale Relevance Function
  • Image Retrieval
  • Independent Feature Analysis for Image Retrieval
  • Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval
  • Classification and Image Interpretation
  • Automatic Design of Multiple Classifier Systems by Unsupervised Learning
  • A Comparison between Neural Networks and Decision Trees
  • Symbolic Learning and Neural Networks in Document Processing
  • Symbolic Learning Techniques in Paper Document Processing
  • Recognition of Printed Music Score
  • Data Mining
  • Reproductive Process-Oriented Data Mining from Interactions between Human and Complex Artifact System
  • Generalised Fuzzy Aggregation Operators
  • A Data Mining Application for Monitoring Environmental Risks.