We present a technique for memory-efficient and time-efficient volume rendering of curvilinear adaptive mesh refinement data defined within extrudable computational spaces. One of...
In this paper we briefly describe a new conceptual model for XML called XSEM. It is a combination of several approaches in the area. It divides the conceptual modeling process to c...
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Maximum variance unfolding (MVU) is an effective heuristic for dimensionality reduction. It produces a low-dimensional representation of the data by maximizing the variance of the...
Le Song, Alex J. Smola, Karsten M. Borgwardt, Arth...
The World Wide Webprovides new opportunities for collecting information from distributed, multiple, and heterogeneous data sources. Information brokering can bc used to provide co...
Heiner Stuckenschmidt, Christoph Schlieder, Ubbo V...