Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
The InfoPad project was started at UC Berkeley in 1992 to investigate the issues involved in providing multimedia information access using a portable, wireless terminal. It quickl...
The Synchronous Dataflow (SDF) model of computation is popular for modelling the timing behaviour of real-time embedded hardware and software systems and applications. It is an es...
Our work addresses protection of hardware IP at the mask level with the goal of preventing unauthorized manufacturing. The proposed protocol based on chip locking and activation i...
The exponential distribution is a key distribution in many event-driven Monte-Carlo simulations, where it is used to model the time between random events in the system. This paper...