This paper presents adaptive techniques for improving delay fault diagnosis. These techniques reduce the search space for direct probing which can save a lot of time during failur...
This work is devoted to the numerical resolution of the 4D Vlasov equation using an adaptive mesh of phase space. We previously proposed a parallel algorithm designed for distribut...
We present the first spatially adaptive data structure that answers approximate nearest neighbor (ANN) queries to points that reside in a geometric space of any constant dimension...
Jonathan Derryberry, Don Sheehy, Maverick Woo, Dan...
Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...