The selection of valuable features is crucial in pattern recognition. In this paper we deal with the issue that part of features originate from directional instead of common linea...
This paper describes a machine learning approach for visual
object detection which is capable of processing images
extremely rapidly and achieving high detection rates. This
wor...
We propose ontological blending as a new method for `creatively' combining ontologies. In contrast to other combination techniques that aim at integrating or assimilating cate...
Joana Hois, Oliver Kutz, Till Mossakowski, John A....
As more data (especially scientific data) is digitized and put on the Web, the importance of tracking and sharing its provenance metadata grows. Besides capturing the annotation pr...
Li Ding, Jie Bao, James Michaelis, Jun Zhao, Debor...
Effective use of communication networks is critical to the performance and scalability of parallel applications. Partitioned Global Address Space languages like UPC bring the pro...