Recent years have seen an immense increase in the complexity of geometric data sets. Today’s gigabyte-sized polygon models can no longer be completely loaded into the main memor...
We present a novel disk-based multiresolution triangle mesh data structure that supports paging and view-dependent rendering of very large meshes at interactive frame rates from e...
Quantum computation has become an intriguing technology with which to attack difficult problems and to enhance system security. Quantum algorithms, however, have been analyzed un...
Dean Copsey, Mark Oskin, Tzvetan S. Metodi, Freder...
External perception based on vision plays a critical role in developing improved and robust localization algorithms, as well as gaining important information about the vehicle and ...
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...