DETERMINATION AND DETECTION OF FEATURES IN PATTERNS,

Abstract

Feature determination as a method of training the first layer of weights in a two layer learning machine (Perceptron) is investigated. The problem is viewed as one of examining a set of patterns and determining a set of simpler patterns, or features, so that each of the original patterns can be formed by superposing the features. While the general problem of finding a minimal set of features was not solved, two algorithms were given that solve the problem for restricted pattern sets. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1963
Accession Number
AD0427840

Entities

People

  • H. D. Block
  • N. J. Nilsson
  • R. W. Duda

Organizations

  • Cornell University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computer-Aided Activities
  • Computer-Aided Instruction
  • Contracts
  • Cooperation
  • Detection
  • Education
  • Learning
  • Learning Machines
  • Psychological Phenomena And Processes
  • Psychology
  • Teaching Methods
  • Training

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Fluid Dynamics.
  • Operations Research