Impact of feature selection in classification for hidden channel detection on the example of audio data hiding
Christian Kraetzer, Jana Dittmann · 2008
The classification accuracy achieved in applied classification problems depends strongly on the choice of classifiers and, if a model based approach is chosen, on the quality of the model. In this paper, for a selected classification problem from the area of determination of the existence of hidden channels in audio data, the relevance of single features for model generation in a support vector machine based classification procedure is determined.