Some Observations in Pattern Recognition.

Abstract

In this manuscript some very basic ideas of important consequence are discussed. These ideas are important for any practicing engineer in pattern recognition. The topics include equivalent classifier, dimensionality reduction, fusion of classifier, time varying statistics, etc. Throughout this presentation, it is assumed that the reader is familiar with the mechanics of constructing discriminant, selecting features and other related properties. Therefore no attempt is made to make this presentation are considered 'obvious' in standard books written on the subject of pattern recognition. It is our belief that the readers of this manuscript will benefit considerable by giving some time to these 'obvious' results; mainly because the obvious results are sometimes very confuding results.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1982
Accession Number
ADA113382

Entities

People

  • Kishan G. Mehrotra

Organizations

  • Syracuse University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Data Science
  • Dimensionality Reduction
  • Distribution Functions
  • Feature Extraction
  • Gaussian Distributions
  • Information Science
  • Machine Learning
  • Normal Distribution
  • Pattern Recognition
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Recognition
  • Regression Analysis
  • Statistical Analysis
  • Statistical Inference
  • Three Dimensional

Readers

  • Academic Conference Management
  • Educational Psychology
  • Neural Network Machine Learning.

Technology Areas

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