Slides

Theory

  • Projection Pursuit Motivation and the BCM Learning Rule, Curse of dim
  • Bio Relevance of PPR RF's and structure removal
  • Variance/Bias decomposition of an error
  • Ensemble of Experts
  • Model complexity via MDL   Introduction  Mathematical details 

    • Methodology

  • General Overview
  • Overview: Network Architectures
  • Hybrid Supervised/Unsupervised Training
  • The integrated classification machine
  • Overview: Wavelet Feature Extraction (Quadratic Discrimination)
  • Radial Basis Functions: Global Optimization
  • Face Recognition via Reconstruction network

    • Applications

  • Mine detection
  • Sonar Overview (Big)
  • Sonar Image Acquisition
  • Preprocessing and Detection
  • Image Wavelet denoising
  • Multiscale Matched Filter
  • Post-processing at a Multiscale level
  • BackScatter Data results
  • Side-scan-sonar denoising results
  • 2 Spiral problem
  • Face recognition 

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    Copyright © 1997-1999 Nathan Intrator. All rights reserved.