Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Most game programs have a large number of parameters that are crucial for their performance. Tuning these parameters by hand is rather difficult. Therefore automatic optimization a...
We present an efficient algorithm for preserving the total volume of a solids undergoing free-form deformation using discrete level-of-detail representations. Given the boundary r...
Abstract--This paper proposes an analytical model to estimate the cost of running an affinity-based thread schedule on multicore systems. The model consists of three submodels to e...
Recent work has identified the notion of safe replacement for sequential synchronousdesigns that may not have reset hardware or even explicitly known initial states. Safe replace...
Vigyan Singhal, Carl Pixley, Adnan Aziz, Robert K....