Matching Component Analysis for Transfer Learning (Preprint)

Abstract

We introduce a new Procrustes-type method called matching component analysis to isolate components in data for transfer learning. Our theoretical results describe the sample complexity of this method, and we demonstrate through numerical experiments that our approach is indeed well suited for transfer learning.

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Document Details

Document Type
Technical Report
Publication Date
Aug 05, 2019
Accession Number
AD1081389

Entities

People

  • Charles Clum
  • Dustin G. Mixon
  • Theresa Scarnati

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence
  • Classification
  • Computers
  • Data Analysis
  • Data Science
  • Information Science
  • Learning
  • Machine Learning
  • Neural Networks
  • Probability
  • Random Variables
  • Synthetic Aperture Radar
  • Target Recognition
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.