This session will explore the reasons for the lack of impact in four important areas in which AI has been expected to significantly affect real world Software Engineering. The pan...
- Canonical correlation analysis (CCA) is a major linear subspace approach to dimensionality reduction and has been applied to image processing, pose estimation and other fields. H...
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Autonomic Computing is now showing its value as a solution to the increased complexities of maintaining computer systems and has been applied to many different fields. In this pap...
In this paper, we present the idea of offline count-limited certificates (or clics for short), and show how these can be implemented using minimal trusted hardware functionality a...
Luis F. G. Sarmenta, Marten van Dijk, Jonathan Rho...