: New approaches to modeling and design of enterprise systems must enable enterprises to offer dramatically improved capabilities including more effective enterprise architectures,...
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
This paper presents a system for modeling lichens and simulating their propagation and growth in a virtual scene. Lichens colonize almost every substrate in nature and play an imp...
Abstract. The paper deals with the application of model reference adaptive control to robot impedance control, which is actually a technique of steering the end-effector on a presc...
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...