Real-time applications with security requirements are emerging in various areas including government, education, and business. The security sensitive real-time applications can ta...
Developing parallel applications is notoriously difficult, but is even more complex for desktop applications. The added difficulties are primarily because of their interactive nat...
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Most applications share the resources of networked workstations with other applications. Since system load can vary dramatically, allocation strategies that assume that resources ...