Computationally scalable and accurate estimation, prediction, and simulation of wireless communication channels is critical to the development of more adaptive transceiver algorith...
The rise of ad-hoc data-intensive computing has led to the development of data-parallel programming systems such as Map/Reduce and Hadoop, which achieve scalability by tightly cou...
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
In this paper, we propose SiLo, a novel energy efficient shifted logging storage architecture, for write-oriented workloads. By organizing free storage space of redundant mirrored...
– In this paper, we first describe the concept of data overlay, which is a mechanism to implement arbitrary data structure on top of any structured P2P DHT. With this ion, we dev...