Abstract. Estimation using homogeneous entities has to cope with obstacles such as singularities of covariance matrices and redundant parametrizations which do not allow an immedia...
Compared to Singular Value Decomposition (SVD), Generalized Low Rank Approximations of Matrices (GLRAM) can consume less computation time, obtain higher compression ratio, and yiel...
With the technical advances in ubiquitous computing and wireless networking, there has been an increasing need to capture the context information (such as the location) and to figu...
Hyuk Lim, Lu-Chuan Kung, Jennifer C. Hou, Haiyun L...
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
Development of portable network-aware applications demands an interface to the network that allows an application to obtain information about its execution environment. This paper...
Bruce Lowekamp, Nancy Miller, Dean Sutherland, Tho...