Many networking applications require fast state lookups in a concurrent state machine, which tracks the state of a large number of flows simultaneously. We consider the question ...
Flavio Bonomi, Michael Mitzenmacher, Rina Panigrah...
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
The content of the world-wide web is pervaded by information of a geographical or spatial nature, particularly such location information as addresses, postal codes, and telephone ...
Yasuhiko Morimoto, Masaki Aono, Michael E. Houle, ...
We propose an approximate computation technique for inter-object distances for binary data sets. Our approach is based on the locality sensitive hashing, scales up with the number ...
In this work, by using the local node refinement technique purposed in [2, 1], and a quad-tree type algorithm [3, 13], we built a global refinement technique for Kansa's unsy...