Case-Based Reasoning on Images and Signals

This book is the first edited book that deals with the special topic of signals and images within Case-Based Reasoning (CBR). Signal-interpreting systems are becoming increasingly popular in medical, industrial, ecological, biotechnological and many other applications. Existing statistical and knowl...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Perner, Petra (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Σειρά:Studies in Computational Intelligence, 73
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • to Case-Based Reasoning for Signals and Images
  • Similarity
  • Distance Function Learning for Supervised Similarity Assessment
  • Induction of Similarity Measures for Case Based Reasoning Through Separable Data Transformations
  • Graph Matching
  • Memory Structures and Organization in Case-Based Reasoning
  • Learning a Statistical Model for Performance Prediction in Case-Based Reasoning
  • A CBR Agent for Monitoring the Carbon Dioxide Exchange Rate from Satellite Images
  • Extracting Knowledge from Sensor Signals for Case-Based Reasoning with Longitudinal Time Series Data
  • Prototypes and Case-Based Reasoning for Medical Applications
  • Case-Based Reasoning for Image Segmentation by Watershed Transformation
  • Similarity-Based Retrieval for Biomedical Applications
  • Medical Imagery in Case-Based Reasoning
  • Instance-Based Relevance Feedback in Image Retrieval Using Dissimilarity Spaces.