There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Recently there has been a renewed interest in the application of economic models to the management of computational resources. Most of this interest is focused on pricing models f...
Abstract—Many distributed applications require a group of destinations to be coordinated with a single source. Multicasting is a communication paradigm to implement these distrib...
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
We present a novel approach for adaptively grouping and subdividing hair using discrete level-of-detail (LOD) representations. The set of discrete LODs include hair strands, clust...