This paper gives an efficient Bayesian method for inferring the parameters of a PlackettLuce ranking model. Such models are parameterised distributions over rankings of a finite s...
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
With aggressive gate oxide scaling, latent defects in the gate oxide manifest as traps that, in time, lead to gate oxide breakdown. Progressive gate oxide breakdown, also referred...
This paper is about gate sizing under a statistical delay model. It shows we can solve the gate sizing problem exactly for a given statistical delay model. The formulation used al...
The architecture is the fundamental framework for designing and implementing large scale software, and the ability to trace and control its evolution is essential. However, many t...