Feature Evaluation Tools

Abstract

Measurements or transformations of measurements (i.e., features) are often used for distinguishing between items or groups of interest. For example, cepstral features are useful for speaker identification. Given a large set of possible features, the problem is choosing which to use and which not to use in order to optimize speed and performance. A commercially available software package, MATLAB (Mathworks, Inc.) has been used to implement previously developed methods of feature evaluation tools. These tools include the well known Mahalanobis and Battacbaryya distances, along with a class inter-to-intra measurement ratio. A synthetic data generator for creating multi-variate Gaussian classes was also implemented to aid in the development of the evaluation tools.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA402546

Entities

People

  • Brian Costello

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Data Sets
  • Directories
  • Eigenvalues
  • Eigenvectors
  • Engineering
  • Equations
  • Generators
  • Identification
  • Machine Learning
  • Measurement
  • Pattern Recognition
  • Test And Evaluation
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Database Systems and Applications
  • Speech Processing/Speech Recognition.