Derivation of Recursive Update Equations for Joint Representation Mixture Models.

Abstract

The joint representation mixture model is defined, likelihood functions corresponding to different levels of data categorization with respect to class are presented along with the iterative expectation-maximization (E-M) equations, and the resultant recursive E-M equations are derived.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1995
Accession Number
ADA309554

Entities

People

  • George W. Rogers
  • Richard A. Lorey

Organizations

  • Naval Surface Warfare Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Classification
  • Computations
  • Data Sets
  • Equations
  • Image Processing
  • Information Operations
  • Mathematics
  • Military Research
  • Observation
  • Pattern Recognition
  • Probability
  • Probability Density Functions
  • Standards
  • Surface Warfare
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Control Systems Engineering.
  • Neural Network Machine Learning.