Scientists depend on literature search to find prior work that is relevant to their research ideas. We introduce a retrieval model for literature search that incorporates a wide ...
The paper focuses on evaluating constraint satisfaction search algorithms on application based random problem instances. The application we use is a well-studied problem in the el...
Background: Inference of evolutionary trees using the maximum likelihood principle is NP-hard. Therefore, all practical methods rely on heuristics. The topological transformations...
Statistical reconstruction algorithms in transmission tomography yield improved images relative to the conventional FBP method. The most popular iterative algorithms for this prob...
Virtual humans offer an exciting and powerful potential for rich interactive experiences. Fully embodied virtual humans are growing in capability, ease, and utility. As a result, t...
Patrick G. Kenny, Thomas D. Parsons, Jonathan Grat...