13. Feature Selection and Evaluation

  1. Hans Georg Schaathun

Published Online: 22 AUG 2012

DOI: 10.1002/9781118437957.ch13

Book Title

Machine Learning in Image Steganalysis

Machine Learning in Image Steganalysis

Additional Information

How to Cite

Schaathun, H. G. (2012) Feature Selection and Evaluation, in Machine Learning in Image Steganalysis, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118437957.ch13

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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Keywords:

  • feature selection/evaluation, applications in steganalysis;
  • right features for classification, in pattern matching/machine learning;
  • searching the perfect vector, an NP-complete problem;
  • optimal classification accuracy, model and right level of complexity;
  • model complexity and factors, feature space dimensionality;
  • classifiers in making decision, and curse of dimensionality;
  • selection using information theory;
  • feature selection using information theory, needing multivariate mutual;
  • features and binning, with discrete entropy/mutual information;
  • boosting for feature selection using BFS

Summary

This chapter contains sections titled:

  • Overfitting and Underfitting

  • Scalar Feature Selection

  • Feature Subset Selection

  • Selection Using Information Theory

  • Boosting Feature Selection

  • Applications in Steganalysis

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