Introduction to Pattern Recognition: A Matlab Approach (Paperback)
內容描述
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
