Pattern Recognition

• 1. Introduction
  • 1.1. Contents of this lecture
  • 1.2. Concepts
  • 1.3. Eg: coin classification
  • 1.4. Eg: How to do speech recognition
• 2. Bayes Decision Theory
  • 2.1. Assumptions
  • 2.2. Priori and posterior
  • 2.3. Probability of Error
• 3. Bayes Decision Theory (2)
  • 3.1. Loss Function