Abstract
The paper deals with the extraction of features for object recognition. Bayes' probability of correct classification was adopted as the extraction criterion. The problem with full probabilistic information is discussed in detail. A simple calculation example is given and solved. One of the paper's chapters is devoted to a case when the available information is contained in the so-called learning sequence (the case of recognition with learning). © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Kurzynski, M., & Puchala, E. (2006). The optimal feature extraction procedure for statistical pattern recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3982 LNCS, pp. 1210–1215). Springer Verlag. https://doi.org/10.1007/11751595_127
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