Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...
In the paper we present the organization of the INEX 2009 interactive track. For the 2009 experiments the iTrack has gathered data on user search behavior in a collection consistin...
Nils Pharo, Ragnar Nordlie, Norbert Fuhr, Thomas B...
: This paper presents an experimental module for teaching finite state machine concepts. This module is designed for use in a lecture-based course that does not currently have a la...
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
We address the issue of measuring storage, or query load distribution fairness in peer-to-peer data management systems. Existing metrics may look promising from the point of view ...