We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
A new distributed algorithm of data ccompression based on hierarchical cluster model for sensor networks is proposed, the basic ideas of which are as follows, firstly the whole se...
— In this paper, a new statistical model is proposed for modeling the nature images in the transform domain. We demonstrate that the von Mises distribution (VM) fits accurately ...
In the general area of high-performance computing, object-oriented methods have gone largely unnoticed. In contrast, the Computational Neighborhood (CN), a framework for parallel ...
This paper presents a model driven approach for the generation of business process driven web applications within the context of ubiquitous environments. For this reason, we have t...