DescriptionAn accompanying manual to Theodoridis/Koutroumbas, Pattern Recognition, that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.

• Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition 4e.
• Solved examples in Matlab, including real-life data sets in imaging and audio recognition
• Available separately or at a special package price with the main text
  
  Table of Contents
  1. Classifiers Based on Bayes Decision Theory
  2. Classifiers Based on Cost Function Optimization
  3. Data Transformation: Feature Generation and Dimensionality Reduction
  4. Feature Selection
  5. Template Matching
  6. Hidden Markov Models
  7. Clustering