Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
: We describe QoSDREAM, a middleware framework for the construction and management of context-aware multimedia applications. The contributions of QoSDREAM include (1) a novel appro...
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
This paper describes the Network-Attached Secure Disk (NASD) storage architecture, prototype implementations of NASD drives, array management for our architecture, and three files...
Garth A. Gibson, David Nagle, Khalil Amiri, Jeff B...
—This paper studies economic models of user participation incentive in participatory sensing applications. User participation is the most important element in participatory sensi...