Multiset Approach to Discrimination of Spatial Statistics,

Abstract

The need to discriminate and classify spatial patterns is central to pattern recognition. The emergence of the field of computational statistics, made possible by recent advances in digital computing, has opened up a new way of approaching pattern recognition. In particular, it is no longer necessary to assume restrictive statistical models for spatially correlated data. It thus becomes important to develop model-free approaches to the description of spatial patterns. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1995
Accession Number
ADA302207

Entities

People

  • Carey E. Phiebe
  • George W. Rogers

Organizations

  • Naval Surface Warfare Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Change Detection
  • Data Science
  • Data Sets
  • Detection
  • Discrimination
  • Distribution Functions
  • Ergodic Processes
  • Estimators
  • Information Science
  • Military Research
  • New York
  • Pattern Recognition
  • Probability
  • Recognition
  • Statistics
  • Surface Warfare
  • Two Dimensional

Fields of Study

  • Biology
  • Mathematics
  • Physics

Readers

  • Neural Network Machine Learning.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference