: Following celebrated failures stakeholders begin to ask questions about how to improve the systems and processes they operate, manage or depend on. In this process it is easy to ...
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
As it becomes increasingly viable to capture, store, and share large amounts of image and video data, automatic image analysis is crucial to managing visual information. Many prob...
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
We present the framework of a new grid architecture based on the peer-to-peer and the component paradigms. In our architecture, several peer-to-peer components are loosely coupled...