Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
We present a novel method to create perpetual animations from a small set of given keyframes. Existing approaches either are limited to re-sequencing large amounts of existing ima...
William Van Haevre, Fabian Di Fiore, Frank Van Ree...
Data-intensive applications are increasingly designed to execute on large computing clusters. Grouped aggregation is a core primitive of many distributed programming models, and i...
4 Automatic diļ¬erentiation is the primary means of obtaining analytic5 derivatives from a numerical model given as a computer program. There-6 fore, it is an essential productivi...
that defines abstract costs for measuring or analyzing the performance of computations, (2) to supply the users with a mapping of these costs onto runtimes on various machine model...