The virtual synchrony model for group communication has proven to be a powerful paradigm for building distributed applications. Implementationsof virtual synchrony usually require...
In the paper "Extensional PERs" by P. Freyd, P. Mulry, G. Rosolini and D. Scott, a category C of "pointed complete extensional PERs" and computable maps is int...
Peter J. Freyd, P. Mulry, Giuseppe Rosolini, Dana ...
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...