AN ADEQUACY THEOREM FOR AN OBJECT AND ITS RECOGNITION SYSTEM,
Abstract
Application of the estimator theory (in mathematical statistics) to the selection of an optimal set of prototypes is considered; the optimum corresponds to minimum error and maximum resolution. The theorem reads: 'To obtain an optimal recognition, with a certain definite-criterion algorithm which is a measure of dispersion, it is necessary and sufficient to work out - during the recognition-system learning - an optimal set of prototypes, i.e., a set of such prototypes whose space is a most accurate model of the observation space and corresponds to the space of the external medium.' It is demonstrated that the optimal set of prototypes is adequate to the external medium. In recognizing a check pattern, the recognition system uses only an active part of the entire set of prototypes. The potency of this active subset depends on the recognition-algorithm criterion.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 14, 1969
- Accession Number
- AD0693595
Entities
People
- T. Gergely
Organizations
- National Air and Space Intelligence Center