EXPLICIT INCLUSION OF A MIXTURE OF VARIATES AS A SEPARATE CLASS IN PATTERN RECOGNITION PROBLEMS

Abstract

Previous detection studies assumed that a 'target' was either present in a region of interest with a probability p, or not, with a probability (1-p). Knowing the value of p, the 'searcher' makes a measurement of a random variable that has a probability density function which depends on whether or not the target is present and attempts to make a decision regarding the presence of the target. In this paper a more general point of view is adopted in that the author allows the possibility of both target and non-target elements to be present in any region of measurement. This provides an explicit consideration of a third possibility, that of a mixture of target and non-target elements. The forms of the probability densities for the 'mix' variate are obtained for a variety of assumptions regarding the relationships among the variates involved. A sequential decision problem is extended to include the three value case.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1967
Accession Number
AD0648112

Entities

People

  • W. J. Sacco

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  • Ballistic Research Laboratory

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  • Human Systems
  • Materials and Manufacturing Processes
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  • Aeronautical Laboratories
  • Computer Science
  • Detection
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  • Regression Analysis.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference