Applications in computer networks often require high throughput access to large data structures for lookup and classification. While advanced algorithms exist to speed these search...
This article gives an overview of a framework for automatically generating large-scale simulation models from a domain specific problem definition data schema, here semiconductor ...
Ralph Mueller, Christos Alexopoulos, Leon F. McGin...
We present a method for real-time level of detail reduction that is able to display high-complexity polygonal surface data. A compact and efficient regular grid representation is...
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...