AN INTRODUCTION TO THE THEORY OF ADAPTIVE PATTERN RECOGNITION,

Abstract

An introduction to the theory of adaptive pattern recognition is presented having a scope intended to serve as a bridge between the general type of survey and the specialized works. Little or no experience of the field is assumed. There are three sections. The first is devoted to the concepts of adaptive system, pattern and pattern recognition, with due attention to establishing a relevant framework and terminology. The next section discusses in some detail some of the analytical problems inherent to the generic pattern recognition devices known as adalines, perceptrons, matched filters, and stochastic classifiers. The final section gives a brief resume of the notion of separability and of the establishment of certain conditions for its attainment by means of linear and quadratic discriminant functions. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1964
Accession Number
AD0608157

Entities

People

  • H. D. Landahl
  • Hugo M. Martinez

Organizations

  • University of Chicago

Tags

DTIC Thesaurus Topics

  • Adaptive Systems
  • Filters
  • Information Theory
  • Machine Learning
  • Matched Filters
  • Nervous System
  • Pattern Recognition
  • Recognition

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Business Analytics
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms