Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
We describe a method for the fully automatic learning of hierarchical finite state translation models. The input to the method is transcribed speech utterances and their correspon...
We define state transition grammars (STG) as an intermediate tbrmalism between grammars and parsing algorithms which is intended to separate the description of a parsing strategy ...
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
In this paper we extend the shot transition detection component of the ViBE video database system to include gradual scene changes. ViBE Video Indexing and Browsing Environment, a...