On impact of PCA for solving classification tasks defined on facial images
by Boris Strandjev; Gennady Agre
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 6, No. 3/4, 2014

Abstract: The paper presents some experiments investigating the applicability of the principal component analysis method for solving several concept learning tasks defined on images of faces. The results have shown that, in most cases, the applied transformation improves the classification accuracy of used concept learning algorithms. In addition the experiments have confirmed a possible relation between the quality of the obtained improvements and the complexity of the concepts to be learnt. This relation has the potential to be an objective measure of 'concept complexity'.

Online publication date: Wed, 08-Apr-2015

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