Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
Reconfigurable Architectures are good candidates for application accelerators that cannot be set in stone at production time. FPGAs however, often suffer from the area and perfor...
Abstract— In order to efficiently use Grid resources, users or middlewares must use some network information, and in particular some knowledge of the platform network. As such kn...
In current embedded systems processors, multi-ported register files are one of the most power hungry parts of the processor, even when they are clustered. This paper presents a n...
Praveen Raghavan, Andy Lambrechts, Murali Jayapala...