Caches are notorious for their unpredictability. It is difficult or even impossible to predict if a memory access results in a definite cache hit or miss. This unpredictability i...
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Geovisualization (GeoViz) is an intrinsically complex process. The analyst needs to look at data from various perspectives and at various scales, from “seeing the whole” to ...
Gennady L. Andrienko, Mikael Jern, Jason Dykes, Sa...
Application-level protocol analyzers are important components in tools such as intrusion detection systems, firewalls, and network monitors. Currently, protocol analyzers are wri...
Nikita Borisov, David Brumley, Helen J. Wang, John...