Chain Rule Processor

Abstract

A modularized classifier is provided which includes a plurality of class specific modules. Each module has a feature calculation section, and a correction section. The modules can be arranged in chains of modules where each chain is associated with a class. The first module in the chain receives raw input data and subsequent modules act on the features provided by the previous module. The correction section acts on the previously computed correction. Each chain is terminated by a probability density function evaluation module. The output of the evaluation, module is combined with the correction value of the last module in the chain. This combined output is provided to a compare module that indicates the class of the raw input data.

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Document Details

Document Type
Technical Report
Publication Date
Mar 30, 2005
Accession Number
ADD020192

Entities

People

  • Paul Baggenstoss

Organizations

  • United States Department of the Navy

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Data Analysis
  • Data Mining
  • Data Science
  • Dimensionality Reduction
  • Governments
  • Image Recognition
  • Information Science
  • Machine Learning
  • Probability
  • Probability Density Functions
  • Random Variables
  • Signal Processing
  • Statistics
  • Supervised Machine Learning
  • Test And Evaluation
  • United States
  • United States Government

Readers

  • Business Analytics
  • Electrical Engineering
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.