@INPROCEEDINGS{MPV13, 
    author={Mrazova, I. and Pihera, J. and Veleminska, J.}, 
    booktitle={Neural Networks (IJCNN), The 2013 International Joint Conference on}, 
    title={Can N-dimensional convolutional neural networks distinguish men and women better than humans do?}, 
    year={2013}, 
    month={Aug}, 
    pages={1-8}, 
    keywords={face recognition;feature selection;gender issues;image classification;knowledge representation;neural nets;2D image recognition;3D face scans;German Traffic Sign competition;N-dimensional convolutional neural networks;N-dimensional object data;ND-CNN;enforced internal knowledge representation;face features;gender classification;high-dimensional object data;human performance;image processing techniques;neural classifier;object characteristics;preselected image features;Face;Feature extraction;Indexes;Neural networks;Neurons;Shape;Training}, 
    doi={10.1109/IJCNN.2013.6707101}, 
    ISSN={2161-4393},
}