Abstract. Geographical Information Science is essentially computational geography and has its own research program, namely all aspects of formal models for spatial natural processe...
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
In this paper, general guidelines and specific algorithms for code transformations between breadth-first (BF) and depth-first (DF) linear quadtrees are proposed. Each algorithm ha...
We first present an algorithm that uses membership and equivalence queries to exactly identify a discretized geometric concept defined by the union of m axis-parallel boxes in d-...
Nader H. Bshouty, Paul W. Goldberg, Sally A. Goldm...
This paper proposes a computationally efficient approach for estimating camera motion based on a voting mechanism that neither relies on explicit feature matching nor RANSAC. In t...
Mauricio Soto Alvarez, Stefano Maludrottu, Carlo S...