A Review of Statistical Pattern Recognition.

Abstract

This paper examines the current status of the statistical pattern recognition by the topics: classification rules, feature extraction, contextual analysis, etc. Important but unsolved problem areas are also explored. The relationship between the statistical pattern recognition and signal processing is also considered.

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Document Details

Document Type
Technical Report
Publication Date
May 19, 1978
Accession Number
ADA055745

Entities

People

  • Chia‐Hung Chen

Organizations

  • University of Massachusetts Dartmouth

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Character Recognition
  • Computational Complexity
  • Data Analysis
  • Data Mining
  • Data Science
  • Dimensionality Reduction
  • Electrical Engineering
  • Feature Extraction
  • Information Science
  • Machine Learning
  • Pattern Recognition
  • Probability
  • Recognition
  • Signal Processing
  • Statistics
  • Unsupervised Machine Learning

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy