Driven by the success of the Linked Open Data initiative today’s Semantic Web is best characterized as a Web of interlinked datasets. Hand in hand with this structure new challen...
Andreas Schwarte, Peter Haase, Katja Hose, Ralf Sc...
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
The increasingly popular GPS technology and the growing amount of trajectory data it generates create the need for developing applications that efficiently store and query traject...
Petko Bakalov, Eamonn J. Keogh, Vassilis J. Tsotra...