Abstract
In this paper we study the performance of a catalogue-based image classifier after applying different methods for performance improvement, such as feature-sub set selection and feature weighting. The performance of the image catalogues is assessed by studying the reduction of the prototypes after applying Changes prototype-selection algorithm. We describe the results that could be achieved and give an outlook for further developments on a catalogue-based classifier. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Perner, P. (2006). A comparative study of catalogue-based classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4106 LNAI, pp. 301–308). Springer Verlag. https://doi.org/10.1007/11805816_23
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