RESEARCH IN ADAPTIVE PATTERN RECOGNITION.

Abstract

The report contains a review of the significant aspects of studies which have not been extensively reported elsewhere. The emphasis has been on the development and evaluation of pattern recognition schemes whose performance either does not depend or has minimal dependence on a priori knowledge of the underlying statistical behavior of the pattern classes to be discriminated. Significant developments include: a nonparametric procedure which first transforms the unknown probability structure of a pattern discrimination problem to the real line and then partitions this induced space by a method based on the difference of empirical distribution functions; a least-squares functional expansion about the Bayes (optimum) decision surface which leads to a type of polynomial discriminant function; a transformation such that a class of stochastic processes can be characterized by the distribution of a set of discrete parameters; and two procedures for ranking features according to their effectiveness in discriminating among dichotomous pattern classes. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 28, 1970
Accession Number
AD0711675

Entities

People

  • Donald B. Brick
  • Ernest G. Henrichon Jr.
  • William N. Furey Jr.

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Discrimination
  • Distribution Functions
  • Identification
  • Mathematics
  • Pattern Recognition
  • Polynomials
  • Probability
  • Random Variables
  • Recognition
  • Stochastic Processes
  • Test And Evaluation

Readers

  • Organizational Psychology.
  • Phased Array Antenna Design.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Space