1. MLDM 1999: Leipzig, Germany

@proceedings{DBLP:conf/mldm/1999,
  editor    = {Petra Perner and
               Maria Petrou},
  title     = {Machine Learning and Data Mining in Pattern Recognition, First
               International Workshop, MLDM'99, Leipzig, Germany, September
               16-18, 1999, Proceedings},
  booktitle = {MLDM},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1715},
  year      = {1999},
  isbn      = {3-540-66599-4},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Invited Papers

• Maria Petrou:
  Learning in Pattern Recognition. 1-12
  
• Se June Hong, Sholom M. Weiss:
  Advanced in Predictive Data Mining Methods. 13-20
  

Neural Networks Applied to Image Processing and Recognition

• Igor N. Aizenberg, Naum N. Aizenberg, Georgy A. Krivosheev:
  Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition. 21-35
  
• Atsushi Imiya, Kazuhiko Kawamoto:
  A Dynamics of the Hough Transform and Artifical Neural Networks. 36-50
  
• Mariofanna G. Milanova, Paulo E. M. Almeida, Jun Okamoto Jr., Marcelo Godoy Simões:
  Applications of Celluar Neural Networks for Shape from Shading Problem. 51-63
  

Learning in Image Pre-Processing and Segmentation

• Herbert Jahn:
  Unsupervised Learning of Local Mean Gray Values for Image Pre-processing. 64-74
  
• Martin Reczko, Dimitris A. Karras, V. Mertzios, D. Graveron-Demilly, D. van Ormondt:
  Neural Networks in MR Image Estimation from Sparsely Sampled Scans. 75-86
  
• Roman M. Palenichka, Maxim A. Volgin:
  Extraction of Local Structural Features in Images by Using a Multi-scale Relevance Function. 87-102
  

Image Retrieval

• Jing Peng, Bir Bhanu:
  Independent Feature Analysis for Image Retrieval. 103-115
  
• Irwin King, Tak-Kan Lau:
  Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval. 116-130
  

Classification and Image Interpretation

• Giorgio Giacinto, Fabio Roli:
  Automatic Design of Multiple Classifier Systems by Unsupervised Learning. 131-143
  
• Carsten Jacobsen, Uwe Zscherpel, Petra Perner:
  A Comparison between Neural Networks and Decision Trees. 144-158
  

Symbolic Learning and Neural Networks in Document Processing

• Oronzo Altamura, Floriana Esposito, Francesca A. Lisi, Donato Malerba:
  Symbolic Learning Techniques in Paper Document Processing. 159-173
  
• Tomás Beran, Tomás Macek:
  Recognito of Printed Music Score. 174-179
  

Data Mining

• Tetsuo Sawaragi:
  Reproductive Process-Oriented Data Mining from Interactions between Human and Complex Artifact System. 180-194
  
• Maria Petrou, K. R. Sasikala:
  Generalized Fuzzy Aggregation Operators. 195-208
  
• Angela Scaringella:
  A Data Mining Application for Monitoring Environmental Risks. 209-215