We consider the problem of transforming a signal to a representation in which the components are statistically independent. When the signal is generated as a linear transformation...
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
Since years the market of mobile navigation systems is growing enormously. Within this paper the goals and first results of the joint project "Mobile Navigation with 3D City ...
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...