Start Date
4-1970 8:00 AM
Description
Experiments involving sequential recognition techniques and feature ordering schemes were performed on 23 feature samples of vowel spectra and 12 feature samples of remotely sensed agricultural crop data. Since each experiment dealt with two pattern classes, Wald's sequential probability ratio test was used. The test was implemented with both fixed and time-varying stopping boundaries. Feature ordering was accomplished by both dispersion analysis and the divergence criterion.
Practical Applications of Sequential Pattern Recognition Techniques
Experiments involving sequential recognition techniques and feature ordering schemes were performed on 23 feature samples of vowel spectra and 12 feature samples of remotely sensed agricultural crop data. Since each experiment dealt with two pattern classes, Wald's sequential probability ratio test was used. The test was implemented with both fixed and time-varying stopping boundaries. Feature ordering was accomplished by both dispersion analysis and the divergence criterion.
Comments
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