Pub. Date:
Springer Berlin Heidelberg
Case-Based Reasoning on Images and Signals / Edition 1

Case-Based Reasoning on Images and Signals / Edition 1

by Petra PernerPetra Perner
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This 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 knowledge-based techniques lack robustness, accuracy and flexibility. New strategies are needed that can adapt to changing environmental conditions, signal variation, user needs and process requirements. Introducing CBR strategies into signal-interpreting systems can satisfy these requirements.

Product Details

ISBN-13: 9783642092213
Publisher: Springer Berlin Heidelberg
Publication date: 12/08/2010
Series: Studies in Computational Intelligence , #73
Edition description: Softcover reprint of hardcover 1st ed. 2008
Pages: 436
Product dimensions: 6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

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.

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