The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
We consider a model for which it is important, early in processing, to estimate some variables with high precision, but perhaps at relatively low recall. If some variables can be ...
Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. L...
Digital forensic investigators are often faced with the task of manually examining a large number of (photographic) images in order to identify potential evidence. The task can be...
Yixin Chen, Vassil Roussev, Golden G. Richard III,...
A novel snake model suitable for edge extraction of bandshape objects is presented in this paper. Based on the proposed model, an edge tracking system, EdgeTrak, has been develope...
A recurring problem in data centres is that the constantly changing workload is not proportionally distributed over the available servers. Some resources may lay idle while others ...
Roman van der Krogt, Jacob Feldman, James Little, ...