In the last decade, cluster computing has become the most popular high-performance computing architecture. Although numerous technological innovations have been proposed to improv...
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
Probabilistic data is coming as a new deluge along with the technical advances on geographical tracking, multimedia processing, sensor network and RFID. While similarity search is...
In this paper we discuss rate control for multiuser multicarrier systems, where the transmitter has a single antenna and is subject to a PSD mask limitation while the receiver has...
Exploiting spatial locality is critical for a disk scheduler to achieve high throughput. Because of the high cost of disk head seeks and the non-preemptible nature of request serv...