The Spatial Approximation Tree (sa-tree) is a recently proposed data structure for searching in metric spaces. It has been shown that it compares favorably against alternative data...
This paper introduces a new benchmark study to evaluate the performance of landmark-based shape correspondence used for statistical shape analysis. Different from previous shape-co...
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 ...
We present upper bounds on the computational power of an optical model of computation called the C2-CSM. We show that C2-CSM time is no more powerful than sequential space, thus gi...
This paper presents an unified view of most previous table-lookup-and-addition methods: bipartite tables, SBTM, STAM and multipartite methods. This new definition allows a more ac...