In this paper, we propose a new scheme for the geometry coding of three-dimensional (3-D) mesh models using a dual graph. In order to compress the mesh geometry information, we gen...
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
In this paper, we address the maintenance of spatial semijoin queries over continuously moving points, where points are modeled as linear functions of time. This is analogous to t...
— This paper studies the analysis on the Cyber Clean Center (CCC) Data Set 2009, consisting of raw packets captured more than 90 independent honeypots, in order for detecting beh...
Modularity is a key requirement for large ontologies in order to achieve re-use, maintainability, and evolution. Mechanisms for ‘normalisation’ to achieve analogous aims are s...