We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
This paper presents an implemented system, called LEONARD, that classifies simple spatial motion events, such as pick up and put down, from video input. Unlike previous systems th...
This paper presents a novel statistical model for automatic identification of English baseNP. It uses two steps: the Nbest Part-Of-Speech (POS) tagging and baseNP identification g...
Metrical calibration is very critical for the accuracy of a 3d sensor. Measuring uncertainty of about 1:3000 of the z-range requires a calibration accuracy of about 1:104 . Severa...
A system for the automatic segmentation of German words into morphs was developed. The main linguistic knowledge sources used by the system are a word syntax and a morph dictionar...
T. Pachunke, O. Mertineit, Klaus Wothke, Rudolf Sc...