Peer-to-peer computing paradigm is emerging as a scalable and robust model for sharing media objects. In this paper, we propose an architecture and describe the associated algorit...
Abstract. We describe an efficient approach to construct shape models composed of contour parts with partially-supervised learning. The proposed approach can easily transfer parts ...
In this paper, we present two methods to reduce leakage energy by dynamically resizing the cache during program execution. The first method monitors the miss rate of the individua...
In this paper, we propose an original solution for the general reverse k-nearest neighbor (RkNN) search problem. Compared to the limitations of existing methods for the RkNN searc...
As FPGA-based systems including soft processors become increasingly common, we are motivated to better understand the architectural trade-offs and improve the efficiency of these...