Eigenvalue Properties of Projection Operators and Their Application to the Subspace Method of Feature Extraction.

Abstract

The subspace method proposed by Watanabe, et al. is an important method of feature extraction in pattern recognition. Some new results described here provide a formulation of the subspace method that is particularly easy to implement and overcomes the various numerical difficulties that were inherent in earlier implementations of the method. The present formulation is also important in that it provides the key to the relation of this method to other methods of feature extraction. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 15, 1974
Accession Number
AD0784863

Entities

People

  • Charles W. Therrien

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Eigenvalues
  • Extraction
  • Feature Extraction
  • Identification
  • Pattern Recognition
  • Recognition

Readers

  • Calculus or Mathematical Analysis
  • Graph Algorithms and Convex Optimization.
  • Systems Analysis and Design

Technology Areas

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