: We introduce a noise-resistant algorithm for reconstructing a watertight surface from point cloud data. It forms a Delaunay tetrahedralization, then uses a variant of spectral gr...
Ravi Krishna Kolluri, Jonathan Richard Shewchuk, J...
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
We address the problem of users creating visualizations to debug and understand multi-agent systems. The key challenges are that (1) needs arise dynamically, i.e., it is difficult...
Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedr...
Management of virtual machines (VMs) on a large scale remains a significant challenge today. We lack general and vendor-independent quantitative criteria/metrics by which to desc...