Feature extraction by multilayer perceptron: visualization of internal representation of input data

Authors:
Miloš Oravec;Jarmila Pavlovičová
Affiliations:
Slovak University of Technology, Ilkovičova, Bratislava, Slovak Republic;Slovak University of Technology, Ilkovičova, Bratislava, Slovak Republic
Venue:
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Year:
2007

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Abstract

In this paper, we present methodology for manipulating the internal representation of input images formed by Multilayer Perceptron (MLP). Methods of ordering hidden layer outputs to two-dimensional form are described. Next, reordering of such representation is shown. Presented methods can be applied in feature extraction for image compression and pattern recognition.