Abstract—Modern frequency-agile radios are capable of dynamically changing the spectrum width and central frequency of its channels. Existing spectrum sharing algorithms often fa...
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
Abstract. We extend active contours to constrained iterative deconvolution by replacing the external energy function with a model-based likelihood. This enables sub-pixel estimatio...
In this paper we introduce executions of place/transition Petri nets with weighted inhibitor arcs (PTI-net) as enabled labeled stratified order structures (LSOs) and present a po...
A method is presented that allows one to exactly determine all the characteristics of a PSO’s sampling distribution and explain how it changes over time, in the presence stochas...