Case-Based Reasoning on Images and Signals 2008

• Petra Perner:
  Introduction to Case-Based Reasoning for Signals and Images. 1-24
  
• Michael M. Richter:
  Similarity. 25-90
  
• Abraham Bagherjeiran, Christoph F. Eick:
  Distance Function Learning for Supervised Similarity Assessment. 91-126
  
• Leon Bobrowski, Magdalena Topczewska:
  Induction of Similarity Measures for Case Based Reasoning Through Separable Data Transformations. 127-148
  
• Xiaoyi Jiang, Horst Bunke:
  Graph Matching. 149-173
  
• Isabelle Bichindaritz:
  Memory Structures and Organization in Case-Based Reasoning. 175-194
  
• Bir Bhanu, Rong Wang:
  Learning a Statistical Model for Performance Prediction in Case-Based Reasoning. 195-212
  
• Juan M. Corchado, Jim Aiken, Javier Bajo:
  A CBR Agent for Monitoring the Carbon Dioxide Exchange Rate from Satellite Images. 213-246
  
• Peter Funk, Ning Xiong:
  Extracting Knowledge from Sensor Signals for Case-Based Reasoning with Longitudinal Time Series Data. 247-284
  
• Rainer Schmidt, Tina Waligora, Olga Vorobieva:
  Prototypes and Case-Based Reasoning for Medical Applications. 285-317
  
• Maria Frucci, Petra Perner, Gabriella Sanniti di Baja:
  Case-Based Reasoning for Image Segmentation by Watershed Transformation. 319-353
  
• Linda G. Shapiro, Indriyati Atmosukarto, Hansang Cho, H. Jill Lin, Salvador Ruiz-Correa, Jenny Yuen:
  Similarity-Based Retrieval for Biomedical Applications. 355-387
  
• David C. Wilson, Dympna O'Sullivan:
  Medical Imagery in Case-Based Reasoning. 389-418
  
• Giorgio Giacinto, Fabio Roli:
  Instance-Based Relevance Feedback in Image Retrieval Using Dissimilarity Spaces. 419-436