A comparative study of catalogue-based classification

  • Authors:
  • Petra Perner

  • Affiliations:
  • Institute of Computer Vision and Applied Computer Sciences, Leipzig

  • Venue:
  • ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
  • Year:
  • 2006

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Abstract

In this paper we study the performance of a catalogue-based image classifier after applying different methods for performance improvement, such as feature-subset selection and feature weighting. The performance of the image catalogues is assessed by studying the reduction of the prototypes after applying Chang‘s prototype-selection algorithm. We describe the results that could be achieved and give an outlook for further developments on a catalogue-based classifier.