When designing computer vision systems for the blind and visually impaired it is important to determine the orientation of the user relative to the scene. We observe that most ind...
This paper addresses the problem of creating probabilistic brain atlases from manually labeled training data. We propose a general mesh-based atlas representation, and compare diff...
This paper presents a technique for an intelligent robot to adaptively behave in unforeseen and dynamic circumstances. Since the traditional methods utilized the relatively reliabl...
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
When building rule-based machine translation systems, a considerable human effort is needed to code the transfer rules that are able to translate source-language sentences into gra...