Parameters of Human Pattern Perception.

Abstract

Theoretical and methodological development were concentrated on the development of a model for human pattern perception and include: (1) the development of prototype and generation of sets of deviant examples of line drawings (insects) to be used with the model; (2) the operation of the model in a supervised learning mode to validate its pattern analytic routines and to obtain distributional statistics on the sets of examples; and (3) planning for the unsupervised learning mode in which the model will learn to recognize a new pattern on the basis of examples in which the classes are not identified for the model by the experimenter. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 18, 1972
Accession Number
AD0741396

Entities

People

  • Selby H. Evans

Organizations

  • Texas Christian University

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Data Science
  • Demographic Cohorts
  • Information Science
  • Learning
  • Models
  • Perception
  • Prototypes
  • Statistics
  • Supervised Machine Learning
  • Unsupervised Machine Learning

Readers

  • Neural Network Machine Learning.
  • Regression Analysis.
  • Software Engineering

Technology Areas

  • AI & ML