Traditional object-oriented programming languages can be difficult to use when working with ontologies, leading to the creation of domain-specific languages designed specifically...
Vangelis Vassiliadis, Jan Wielemaker, Chris Mungal...
The production of scientific knowledge has evolved from a process of inquiry largely based on the activities of individual scientists to one grounded in the collaborative efforts ...
Besiki Stvilia, Charles C. Hinnant, Katy Schindler...
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Abstract. Much of the data consumed today is dynamic, typically gathered from distributed sources including sensors, and used in real-time monitoring and decision making applicatio...
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...