The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
We present an interactive system for the generation of high quality triangle meshes that allows us to handle hybrid geometry (point clouds, polygons, ...) as input data. In order ...
In this paper we consider the problem of target tracking in a network of mobile agents. We propose a scheme with agents that are endowed with processing and decision-making capabi...
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...