Abstract--With the services that autonomous robots are to provide becoming more demanding, the states that the robots have to estimate become more complex. In this article, we deve...
Thorsten Schmitt, Robert Hanek, Michael Beetz, Seb...
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
A key problem that arises when unstructured text is being queried is that of properly recognizing and exploiting geographical terms and entities. Here we describe a mechanism for ...
Yi Li, Alistair Moffat, Nicola Stokes, Lawrence Ca...
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
This paper proposes a method to resolve Japanese zero pronouns by identifying their antecedents. Our method uses a probabilistic model, which is decomposed into syntactic and sema...