Sparse Grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of si...
A variety of heterogenous data sources is available in the field of molecular biology. Our focus lies on the biological sequence data, i. e. data maintained in collections like EM...
This paper is concerned with efficient querying of very large multi-resolution datasets on storage and compute clusters. We present a suite of services that support storage, index...
The increase in usage of eye-tracking technology to study text translation processes has revealed the need for effective tools for visualization of the data collected. We propose ...
We propose low-rank representation (LRR) to segment data drawn from a union of multiple linear (or affine) subspaces. Given a set of data vectors, LRR seeks the lowestrank represe...