Existing techniques can enhance the locality of arrays indexed by affine functions of induction variables. This paper presents a technique to localize non-affine array references,...
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumption...
We present a new approach to implementing real-time transactions on memory-resident data on sharedmemory multiprocessors. This approach allows hard deadlines to be supported witho...
James H. Anderson, Rohit Jain, Srikanth Ramamurthy
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...