Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
We address the problem of generating quality surface triangle meshes from 3D point clouds sampled on piecewise smooth surfaces. Using a feature detection process based on the cova...
Abstract. Despite the desirable information contained in complex pedigree datasets, analysis methods struggle to efficiently process these datasets. The attractiveness of pedigree ...
Bonnie Kirkpatrick, Javier Rosa, Eran Halperin, Ri...
As technology scales toward deep submicron, on-chip interconnects are becoming more and more sensitive to noise sources such as power supply noise, crosstalk, radiation induced ef...
—Bloom filter is effective, space-efficient data structure for concisely representing a data set and supporting approximate membership queries. Traditionally, researchers often b...