THE LOEVE-KARHUNEN EXPANSION AS A MEANS OF INFORMATION COMPRESSION FOR CLASSIFICATION OF CONTINUOUS SIGNALS.

Abstract

The present paper is concerned mainly with the aspect of information compression, which is only part of the process of recognition. The problem of zoning (division of the space into disjoint volumes corresponding to classes) and the problem of decision making (such as the Bayesian algorithm) require, among others, careful study in connection with classification and recognition, but are not included in this paper.

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1965
Accession Number
AD0628684

Entities

People

  • Satosi Watanabe

Organizations

  • IBM Thomas J. Watson Research Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Compression
  • Recognition

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

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