This paper presents an object-oriented toolkit for developers of interactive 3D graphics applications. The primary goal of the toolkit is (o make it easier for programmers to crea...
We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
Abstract-- This paper presents an artificial neural networks approach to estimate the indicated torque of a single-cylinder diesel engine from crank shaft angular position and velo...
Chemical computing models have been proposed since the 1980ies for expressing concurrent computations in elegant ways for shared memory systems. In this paper we look at the distri...
Thomas Meyer, Lidia Yamamoto, Christian F. Tschudi...
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...