3. Getting Started with a Classifier

  1. Hans Georg Schaathun

Published Online: 22 AUG 2012

DOI: 10.1002/9781118437957.ch3

Book Title

Machine Learning in Image Steganalysis

Machine Learning in Image Steganalysis

Additional Information

How to Cite

Schaathun, H. G. (2012) Getting Started with a Classifier, in Machine Learning in Image Steganalysis, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118437957.ch3

Author Information

  1. Ålesund University College, Norway

Publication History

  1. Published Online: 22 AUG 2012
  2. Published Print: 21 AUG 2012

ISBN Information

Print ISBN: 9780470663059

Online ISBN: 9781118437957

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CHAPTER TOOLS

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Keywords:

  • starting with the classifier, function/algorithm objects to classes;
  • classification problem, and hands-on tutorial;
  • steganalysis, in detecting hidden messages;
  • classifiers to classify objects, with supervised learning/test phase;
  • libSVM, for overcoming scaling sensitivity;
  • right parameters for SVM, crucial to script in grid search;
  • testing for accuracy, and substantiating cross-validation;
  • Python, PIL image object, and image formats used;
  • image collections for testing image-processing algorithms

Summary

This chapter contains sections titled:

  • Classification

  • Estimation and Confidence

  • Using libSVM

  • Using Python

  • Images for Testing

  • Further Reading

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