Introduction to Pattern Recognition: A Matlab Approach

  • 3h 33m
  • Aggelos Pikrakis, Dionisis Cavouras, Konstantinos Koutroumbas, Sergios Theodoridis
  • Elsevier Science and Technology Books, Inc.
  • 2010

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.

  • 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

In this Book

  • Classifiers Based on Bayes Decision Theory
  • Classifiers Based on Cost Function Optimization
  • Data Transformation—Feature Generation and Dimensionality Reduction
  • Feature Selection
  • Template Matching
  • Hidden Markov Models
  • Clustering

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