Though implicit representations of surfaces have often been used for various computer graphics tasks like modeling and morphing of objects, it has rarely been used for registratio...
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
We propose a method to detect objects and patterns in textures on general surfaces. Our approach applies the Chan?Vese variational model for active contours without edges to the p...
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
In this paper, we demonstrate how Functional Reactive Programming (FRP), a framework for the description of interactive systems, can be extended to encompass parallel systems. FRP ...