Introduction to Pattern Recognition: A Matlab Approach
An 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.
Table of Contents
CHAPTER 1 - Classifiers Based on Bayes Decision Theory
CHAPTER 2 - Classifiers Based on Cost Function Optimization
CHAPTER 3 - Data Transformation Feature Generation and Dimensionality Reduction
CHAPTER 4 - Feature Selection
CHAPTER 5 - Template Matching
CHAPTER 6 - Hidden Markov Models
CHAPTER 7 - Clustering
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here (Book)
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