We describe a technique for writing distributed applications which manage themselves over one or more utility computing infrastructures: by dynamically acquiring new computational...
Qin Yin, Justin Cappos, Andrew Baumann, Timothy Ro...
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
Bernd Fischer 0002, Johann Schumann, Thomas Pressb...
: Reliably recognizing objects approaching on a collision course is extremely important. In this paper, a synthetic vision system is proposed to tackle the problem of collision rec...
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
Christopher K. I. Williams, Michael Revow, Geoffre...