This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...
Abstract. Mathematical documents, and their instrumentation by computers, have rich structure at the layers of presentation, metadata and semantics, as objects in a system for form...
Cezary Kaliszyk, Pierre Corbineau, Freek Wiedijk, ...
This paper explores the potential for annotating and enriching data for low-density languages via the alignment and projection of syntactic structure from parsed data for resource...
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
When it comes to three dimensional computer animations, the use of live actors to control the movements of onscreen characters produces a realism that is unsurpassed. But so are t...
Alexander Redei, Ed Tumbusch, Josh Koberstein, Ser...