The paper presents the comparative analysis of the computer systems for face recognition. Autoencoder, the typical representative of deep learning is compared with the classical PCA transformation.

This paper presents a novel method to enhance the performance of Clustering-based Autoencoder models for network anomaly detection. Previous studies have developed regularized variants of Autoencoders ...