Accession Number:

AD0813395

Title:

DATA REDUCTION USING INFORMATION THEORETIC TECHNIQUES.

Descriptive Note:

Final rept. Jan-Dec 66,

Corporate Author:

NORTH AMERICAN AVIATION INC ANAHEIM CA AUTONETICS DIV

Personal Author(s):

Report Date:

1967-03-01

Pagination or Media Count:

160.0

Abstract:

Final results are presented from a mathematical study to improve the overall performance of pattern recognition devices, such as for reconnaissance photograph interpretation. The specific results of this study are 1 the design of practical pattern recognition systems requires mathematical procedures to account for statistical interdependencies and redundancy. 2 Inadequate experimental data sets are a common situation in practice and quantitative error formulas from sampling theory should be employed to assess and monitor the inadequacy. 3 A data reduction and combining technique was developed and tested, which accounts for the redundancy and data inadequacy. 4 A method of evaluating competing recognizer designs was developed from statistical sampling theory.

Subject Categories:

  • Military Intelligence

Distribution Statement:

APPROVED FOR PUBLIC RELEASE