Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Recently, energy has become an important issue in highperformance computing. For example, supercomputers that have energy in mind, such as BlueGene/L, have been built; the idea is...
Vincent W. Freeh, Feng Pan, Nandini Kappiah, David...
“MegaProto” is a proof-of-concept prototype for our project “Mega-Scale Computing Based on Low-Power Technology and Workload Modeling”, implementing our key idea that a mi...
Power system transient stability analysis computes the response of the rapidly changing electrical components of a power system to a sequence of large disturbances followed by ope...
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...