In this paper, we present a novel on-line probabilistic generative model that simultaneously deals with both the clustering and the tracking of an unknown number of moving objects...
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
Abstract - A cell delay model based on rate-of-currentchange is presented, which accounts for the impact of the shape of the noisy waveform on the output voltage waveform. More pre...
In this paper, we describe solutions how pixel-based visualization techniques can support the decision making process for investors on the financial market. We especially focus o...
Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim
We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz)...