Abstract :
The reject and error rates of a certain hierarchical decision structure are derived under assumptions of statistical independence among the members of the hierarchy. It is shown that high decision reliability can be obtained with much more relaxed requirements on the individual recognizers in the hierarchy.
Keywords :
Decision tree logic, error rates, hierarchical pattern recognition, linguistic pattern recognition, pattern recognition, reject rates, statistical pattern recognition.; Character recognition; Computer vision; Costs; Error analysis; Image recognition; Information theory; Logic; Object detection; Pattern recognition; Sequential analysis; Decision tree logic, error rates, hierarchical pattern recognition, linguistic pattern recognition, pattern recognition, reject rates, statistical pattern recognition.;
