Automatic processing of medical dictations poses a significant challenge. We approach the problem by introducing a statistical framework capable of identifying types and boundarie...
Many problems require recursively speci ed types ofdata and a collection of tools that operate on those data. Over time, these problems evolve so that the programmer must extend t...
Shriram Krishnamurthi, Matthias Felleisen, Daniel ...
In this paper, we present a novel learning based framework for performing super-resolution using multiple images. We model the image as an undirected graphical model over image pa...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
In this paper, we introduce a toolkit called SceneMaker for authoring scenes for adaptive, interactive performances. These performances are based on automatically generated and pr...
Patrick Gebhard, Michael Kipp, Martin Klesen, Thom...
We describe an algorithm for the embedded coding of 3D oceanographic images. These images differ from those arising in other applications in that valid data exists only at grid po...