Geometry compression is an effective way to distribute high-volume geometry data within limited bandwidth and storage capacity. In this paper, a new time-varying 3D geometry compre...
Abstract--In experimental and observational sciences, detecting atypical, peculiar data from large sets of measurements has the potential of highlighting candidates of interesting ...
Various methodologies for structuring the process of domain modeling have been proposed, but there are few software tools that provide automatic support for the process of construc...
Koen V. Hindriks, Stijn Hoppenbrouwers, Catholijn ...
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
— Integrated circuits have evolved to a stage where interconnections significantly limit their performance and functional complexity. We introduce a set of tools to perform high...
Rui Martins, Wolfgang Pyka, Rainer Sabelka, Siegfr...