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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Colección: | Studies in Computational Intelligence,
73 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.