This paper presents the concept and an evaluation of a novel approach to support students to understand complex spatial relations and to learn unknown terms of a domain-specific t...
In this paper, we propose a method for 3D-model retrieval from one or more photos. This method provides an ”optimal” selection of 2D views to represent a 3D-model, and a proba...
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
This paper presents a novel approach (1) to define, analyze, and map a scientific discipline and (2) to compare and map the expertise of single authors based on personal bibliogra...
This paper presents a novel 3D shape descriptor "The Generalized Shape Distributions" for effective shape matching and analysis, by taking advantage of both local and gl...