Pattern Recognition Monograph 1

Abstract

This report describes a series of interactive computer driven display system for aids in the solution of pattern recognition problems. Comparative analyses are given for each system from a software, and user point of view. The classical approach to the empirical solution of a waveform pattern recognition problem invariably involves repeated iteration between feature definition, feature extraction, and feature evaluation. Real world pattern recognition problems of this type with little or no a priori information available indicate the need for an interactive, graphics oriented feature definition/evaluation system. Because no single feature extraction algorithm satisfies all waveform pattern recognition problem requirements, it is desirable to provide a wide variety of flexible techniques for data manipulations and transformations must be presented in such a way to exploit the human's ability to identify candidate waveform features. Just as there is no single algorithm to satisfy all feature extraction requirements, there is no single algorithm to evaluate the merit of all data transformation results. Both the feature definition and evaluation phase of the waveform pattern recognition are interactively based. Keywords: IDRS

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1982
Accession Number
ADA228556

Entities

People

  • Thomas V. Edwards

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Classification
  • Command And Control
  • Computer Programming
  • Computers
  • Data Storage Systems
  • Data Transmission
  • Demodulation
  • Feature Extraction
  • Frequency Shift
  • Operating Systems
  • Pattern Recognition
  • Plastic Explosives
  • Recognition
  • Security
  • Signal Processing
  • System Software
  • Three Dimensional

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computer Science.
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

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