We present a novel approach for analyzing two-dimensional (2D) flow field data based on the idea of invariant moments. Moment invariants have traditionally been used in computer vi...
Michael Schlemmer, Manuel Heringer, Florian Morr...
Background: With the amount of influenza genome sequence data growing rapidly, researchers need machine assistance in selecting datasets and exploring the data. Enhanced visualiza...
ons for this project. Most recent ones are listed at the end of this abstract. In the future, feature selection will be integrated in the multi-class EM algorithm to improve the pe...
Advanced visual interfaces, like the ones found in informaualization, intend to offer a view on abstract data spaces to enable users to make sense of them. By mapping data to visu...
Daniel A. Keim, Peter Bak, Enrico Bertini, Daniela...
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...