Combinatorial maps are nice data structures for modeling the topology of nD objects subdivided in cells (e.g., vertices, edges, faces, volumes, ...) by means of incidence and adjac...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
—We address the problem of registering a set of 2D laser scans in 3D space with regard to six degrees of freedom. Registering single 2D scans is only possible when making strong ...
Benjamin Huhle, Timo Schairer, Andreas Schilling, ...
As user demands become increasingly sophisticated, search engines today are competing in more than just returning document results from the Web. One area of competition is providi...
A key challenge of data-driven social science is the gathering of high quality multi-dimensional datasets. A second challenge relates to design and execution of structured experim...