Optimization Techniques for Feature Extraction in Automatic Pattern Recognition.

Abstract

This report summarizes progress on 'Optimization Techniques for Feature Extraction in Automatic Pattern Recognition.' Work has progressed along two main lines - extraction of optimal linear features from Gaussian pattern classes and optimal nonlinear features from non-Gaussian pattern classes. Considerable progress in the former has been made and an appropriate reference is made to the research for determining the optimal single linear feature. Progress has also been made in the latter case. The status is briefly described.

Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1975
Accession Number
ADA020997

Entities

People

  • Rui J. P. De Figueiredo

Organizations

  • Rice University

Tags

DTIC Thesaurus Topics

  • Automatic
  • Extraction
  • Feature Extraction
  • Optimization
  • Pattern Recognition
  • Recognition

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Neural Network Machine Learning.
  • Technical Research and Report Writing.

Technology Areas

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