Communicationin aparallel systemfrequently involvesmoving data from the memory of one node to the memory of another; this is the standard communication model employedin message pa...
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
Information visualization faces challenges presented by the need to represent abstract data and the relationships within the data. Previously, we presented a system for visualizin...
Ed Huai-hsin Chi, John Riedl, Elizabeth Shoop, Joh...
—In ubiquitous computing, localization of users in indoor environments is a challenging issue. On the one hand, localization data needs to have fine granularity to provide reaso...
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...