This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
In this paper we work on the parallelization of the inherently serial Dijkstra's algorithm on modern multicore platforms. Dijkstra's algorithm is a greedy algorithm that ...
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
: - To construct a multicast tree is the basis of multicast data transmission. The prime problem concerning the construction of a shared multicast tree is to determine the position...
Abstract. Interpolation of field data from unstructured meshes requires the potentially expensive identification of the finite element or volume within which the interpolating poin...
Mahdieh Khoshniat, Gordan R. Stuhne, David A. Stei...