DATA REDUCTION USING INFORMATION THEORETIC TECHNIQUES

DATA REDUCTION USING INFORMATION THEORETIC TECHNIQUES

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 procedu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Hughes, G. F, Lebo, J. A
Format: Report
Sprache:eng
Schlagworte:
COMPUTER ANALYSIS
COMPUTER PROGRAMS
DATA PROCESSING
DIGITAL COMPUTERS
EQUATIONS
ERRORS
EXPERIMENTAL DATA
FUNCTIONAL ANALYSIS
MATHEMATICAL ANALYSIS
MATHEMATICAL MODELS
Military Intelligence
PATTERN RECOGNITION
PHOTOINTERPRETATION
PROBABILITY
SAMPLING
SET THEORY
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Beschreibung
Zusammenfassung: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.