In this paper, we propose an approach for efficient approximative RkNN search in arbitrary metric spaces where the value of k is specified at query time. Our method uses an approx...
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
We present a framework for computing generalized distance transforms and skeletons of two-dimensional objects using graphics hardware. Our method is based on the concept of footpr...
er presents an abstraction of Hoare logic to traced symmetric monoidal categories, a eral framework for the theory of systems. Our abstraction is based on a traced monoidal functor...
Rob Arthan, Ursula Martin, Erik A. Mathiesen, Paul...
Data adaptation is an essential system component in a wide variety of application areas. To date, most applications use ad hoc methods to manage data in response to limited resour...