RELIABLE IDENTIFICATION WITH PRESELECTION AND REJECTION CLASS

摘要

Disclosed is a method for classifying samples wherein the information content of a sample is divided up into two information areas. The first area contains necessary information and the second area contains sufficient information. An initially imprecise preselection concerning a plurality but extremely limited number of classes is made through the necessary information area. After said preselection, identification occurs with the sufficient information area in order to pinpoint the initially imprecise preselection in relation to an effective target class. This enables classification quality to be improved by means of new classifiers or new principal formulations of classification formulations.