This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Despite the widespread and growing use of asynchronous copies to improve scalability, performance and availability, this practice still lacks a firm semantic foundation. Applicati...
As raw system and network performance continues to improve at exponential rates, the utility of many services is increasingly limited by availability rather than performance. A ke...
Current mobile devices support multiple network technologies and network composition via such devices can enable service provisioning across heterogeneous networks. One of the key...
Developing streaming applications on heterogenous multi-processor architectures like the Cell is difficult. Currently, application developers need to know about hardware details t...