Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...
This paper introduces a technique for the numerical generation of basis functions that are capable of parameterizing the frequency-variant nature of cross-sectional conductor curre...
Xin Hu, Tarek Moselhy, Jacob K. White, Luca Daniel
In this paper, we present an automatable decompositional method for the computation of Lyapunov functions for hybrid systems with complex discrete state spaces. We use graph-based ...
We present a technique for restructuring functions with low cohesion into functions with high cohesion. Such restructuring is desirable when re-architecting a legacy system into a...
This paper presents a novel approach to assist the user in exploring appropriate transfer functions for the visualization of volumetric datasets. The search for a transfer functio...
Taosong He, Lichan Hong, Arie E. Kaufman, Hanspete...