Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
Abstract. We present a multi-scale approach for non-rigid image registration of tubular tree-like structures such as vessels. Therefore, we consider a Gaussian and a combined morph...
Abstract. Essence is a formal language for specifying combinatorial problems, in a manner similar to natural rigorous specifications that use a mixture of natural language and disc...
Alan M. Frisch, Warwick Harvey, Christopher Jeffer...
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluati...