Bayesian analysis is a popular subspace based face recognition method. It casts the face recognition task into a binary classification problem with each of the two classes, intrap...
We present a distributed framework that enables real-time streaming and visualization of data generated by large remote simulations. We address issues arising from distributed cli...
Valerio Pascucci, Daniel E. Laney, Ray J. Frank, F...
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
—Since many embedded systems execute a predefined set of programs, tuning system components to application programs and data is the approach chosen by many design techniques to o...