Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
The protocols selected and developed by the NIIIP Consortium have been validated in three end-of-cycle demonstrations. In each cycle, a team with expertise in technical product da...
Martin Hardwick, K. C. Morris, David L. Spooner, T...
— To operate outdoors or on non-flat surfaces, mobile robots need appropriate data structures that provide a compact representation of the environment and at the same time suppo...
Abstract. We study the extension of context ontologies towards enhanced qualitative spatio-temporal representations and reasoning. Our goal is to model and extract events that are ...
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results and best-seller lists. Techniques for processing such ordinal d...