ADAPTIVE MEMORY RESEARCH,

Abstract

The state-of-the-art of automatic pattern recognition techniques and related hardware developments is surveyed with special emphasis on the use of the various adaptive memories reported in the literature of late. The intent of this survey is to examine recent developments and techniques for possible use on Air Force intelligence data processing problems. The relationship between pattern recognition problems and Air Force intelligence problems is discusses and the manner in which pattern recognition methods may be applied to these problems is outlined. Most techniques attempt to process a set of simultaneously measured attributes of the input; while there are significant differences in the manner of attribute processing with the various techniques, the major difference between the methods lies in the manner in which a set of attributes are extracted from the physical world. The better-known set of machine learning and recognition techniques are examined, described, and analyzed in a common terminology. The major activities in automatic photographic data processing (target recognition) conducted in various laboratories of the United States are discussed. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1963
Accession Number
AD0427825

Entities

People

  • G. Sebestyen

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Automatic
  • Data Processing
  • Identification
  • Learning
  • Literature
  • Machine Learning
  • Pattern Recognition
  • Recognition
  • Signal Processing
  • Target Recognition
  • United States

Readers

  • Image Processing and Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy