Landscape Architecture projects have many specific requirements such as particular multimedia and geographic data integration and structure, information preview, userfriendly inte...
Efficient access to distributed and dynamic multidimensional data is vital for applications in large, heterogeneous, decentralised, resource-sharing environments such as Grids an...
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
In this paper, we present a trainable approach to discriminate between machine-printed and handwritten text. An integrated system able to localize text areas and split them in tex...
We explore generic mechanisms to introduce structural hints into the method of Unsupervised Kernel Regression (UKR) in order to learn representations of data sequences in a semi-su...
Jan Steffen, Stefan Klanke, Sethu Vijayakumar, Hel...