Autoencoders are a powerful yet opaque feature reduction technique, on top of which we
propose a novel way for the joint visual exploration of both latent and real space. By …

Abstract Machine learning has been widely used to build intrusion detection models in
detecting unknown attack traffic. How to train a model properly in order to attain the desired …

Recent research has shown the effectiveness of a Scale and Rotational Invariant Sparse
Coding based Key-point Detector. However, this detector utilizes a dictionary generated by …