The construction of low-dimensional models explaining highdimensional signal observations provides concise and efficient data representations. In this paper, we focus on pattern ...
—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...
Moazzam Islam Tiwana, Zwi Altman, Berna Sayra&cced...
MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. Hadoop is an open-...
Matei Zaharia, Andy Konwinski, Anthony D. Joseph, ...
Technology scaling, characterized by decreasing feature size, thinning gate oxide, and non-ideal voltage scaling, will become a major hindrance to microprocessor reliability in fu...
Jason A. Blome, Shuguang Feng, Shantanu Gupta, Sco...
We are investigating how to provide intelligent, pervasive support of group of people within so-called “smart environments”. Our current main assumption, based on literature in...