The class of k Nearest Neighbor (kNN) queries is frequently used in geospatial applications. Many studies focus on processing kNN in Euclidean and road network spaces. Meanwhile, ...
Reconstruction of surfaces from huge collections of scanned points often requires out-of-core techniques, and most such techniques involve local computations that are not resilien...
Matthew Bolitho, Michael M. Kazhdan, Randal C. Bur...
Mobile smartphone users frequently need to search for nearby points of interest from a location based service, but in a way that preserves the privacy of the users' locations...
Femi G. Olumofin, Piotr K. Tysowski, Ian Goldberg,...
Efficient intra-node shared memory communication is important for High Performance Computing (HPC), especially with the emergence of multi-core architectures. As clusters continue ...
— As the feature size of transistors gets smaller, fabricating them becomes challenging. Manufacturing process follows various corrective design-for-manufacturing (DFM) steps to ...