Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
We consider the problem of autonomous navigation in unstructured outdoor terrains using vision sensors. The goal is for a robot to come into a new environment, map it and move to ...
Abstract. There are very few software frameworks for steering behaviors that are publicly available for developing, evaluating, and sharing steering algorithms. Furthermore, there ...
Selecting a threshold for the statistical parameter maps in functional MRI (fMRI) is a delicate matter. The use of advanced test statistics and/or the complex dependence structure ...