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Abstract: In our previous work, we introduced the basic structure of a casebased reasoning system for image interpretation, a structural similarity measure, and some fundamental learning techniques. In this paper, we describe more sophisticated learning techniques that are different in abstraction level. We evaluate our method on a set of images from the non-destructive testing domain and show the feasibility of the approach. As result, we can show that conventional image processing methods... (Update)
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BibTeX entry: (Update)
Perner P. Different Learning Strategies in a Case-Based Reasoning System for Image Interpretation. EWCBR98 Dublin, Lncs, Springer Verlag, 1998 to appear. http://citeseer.ist.psu.edu/perner98different.html More
@article{ perner98different,
author = "Petra Perner",
title = "Different Learning Strategies in a Case-Based Reasoning System for Image Interpretation",
journal = "Lecture Notes in Computer Science",
volume = "1488",
pages = "251--??",
year = "1998",
url = "citeseer.ist.psu.edu/perner98different.html" }
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