:In this paper, a novel supervised dimensionality reduction method is developed based on both the correlation analysis and the idea of large margin learning. The method aims to m...
Understanding and maintaining the structure of large ontologies is a cognitively demanding task. Visualizations are commonly used as a cognitive aid for presenting large ontologie...
A common way to elude a signature-based NIDS is to transform an attack instance that the NIDS recognizes into another instance that it misses. For example, to avoid matching the a...
In this paper, we study the average case complexity of the Unique Games problem. We propose a natural semi-random model, in which a unique game instance is generated in several st...
Alexandra Kolla, Konstantin Makarychev, Yury Makar...
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...