We propose an algorithm for recovering the matrix A in X = AS where X is a random vector of lower dimension than S. S is assumed to be sparse in the sense that S has less nonzero e...
Fabian J. Theis, Pando G. Georgiev, Andrzej Cichoc...
—One of main issues in point matching is the choice of the mapping function and the computation of its optimal hyperparameters. In this paper, we propose an attractive approach t...
We introduce a parallelization of the maximumlikelihood cosine transform. This transform consists of a computationally intensive iterative fitting process, but is readily decompo...
Hoda El-Sayed, Marc Salit, John Travis, Judith Ell...
The MOF Query, View and Transformation RFP, issued by OMG will result in a key enabling technology for modeldriven development of large distributed systems. We have designed a tra...
Keith Duddy, Anna Gerber, Michael Lawley, Kerry Ra...
Volume rendering is a widespread method for displaying graphical models in fields such as medical visualization or engineering. The required image information is stored in a volum...