Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Most recent embedded systems use caches to improve their average performance. Current timing analyses are able to compute safe timing guarantees for these systems, if tasks are ru...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
— The fields of autonomics and system configuration share a common goal in decreasing the cost of ownership of large fabrics. In this paper we present a combined vision in whic...
Increased complexity of memory systems to ameliorate the gap between the speed of processors and memory has made it increasingly harder for compilers to optimize an arbitrary code...