Tuesday, 16 October 2018

INFO-H-501

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INFO-H-501 Pattern recognition and image analysis

This course is the fusion of two pre-existing courses on Image analysis (Pr O. Debeir) and the MATH-H-500 course of Pr Ch. Decaestecker.

Lien vers la Fiche résumée de cours ULB [1]

Liens vers Gehol Q1 / Q2

Lectures content



PATTERN RECOGNITION (Part I)

  • Introduction
    • Basic principles
    • Bayesian approach of supervised classification
    • Examples of method
  • Decision / classification trees
    • Introduction
    • Induction Methods
    • Benefits - Limitations - Extensions
    • Biomedical Applications
  • Artificial neural networks
    • History - Introduction
    • Basic principles
    • Components and Architecture
    • Supervised learning algorithms and a priori probability managment
    • Alternative: Support Vector Machine (SVM)
    • Unsupervised Networks
    • Practical aspects
  • Evaluation and comparison of performance
    • Evaluation of a supervised classification model
    • Model comparison and selection

Slides

slides

former french version



IMAGE ANALYSIS (Part II)

see Université Virtuelle website