—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Abstract— Knowledge of the driving environment is essential for robotic vehicles to comply with traffic rules while autonomously traversing intersections. However, due to limite...
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
Abstract. Constraint Programming is a proven successful technique, but it requires skill in modeling problems, and knowledge on how algorithms interact with models. What can be a g...
Alfio Vidotto, Kenneth N. Brown, J. Christopher Be...
Abstract. Intensity-based classification of MR images has proven problematic, even when advanced techniques are used. Intra-scan and interscan intensity inhomogeneities are a comm...
William M. Wells III, W. Eric L. Grimson, Ron Kiki...