Three complementary methods are used to analyze the dynamics of multivariate EEG data obtained from a human listening to a piece of music. The analysis yields parameters for a data sonification that...
A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression (2008)
Stefan Klanke, Helge Ritter, Neuroinformatics Group
We show how to employ leave-K-out cross-validation in Unsupervised Kernel Regression, a recent method for learning of nonlinear manifolds. We thereby generalize an already present regularization...
Evolution of Computer Vison Subsystems in Robot Navigation and Image Classification Tasks (2008)
Sascha Lange, Martin Riedmiller, Neuroinformatics Group
Abstract. Real-time decision making based on visual sensory information is a demanding task for mobile robots. Learning on high-dimensional, highly redundant image data imposes a real problem for...
Evolution of Computer Vison Subsystems in Robot Navigation and Image Classification Tasks (2007)
Sascha Lange, Martin Riedmiller, Neuroinformatics Group
Abstract. Real-time decision making based on visual sensory information is a demanding task for mobile robots. Learning on high-dimensional, highly redundant image data imposes a real problem for...
Modeling moving objects in a dynamically changing robot application (2005)
Martin Lauer, Sascha Lange, Martin Riedmiller, Neuroinformatics Group
Abstract In this paper we discuss the topic of modeling a moving object in a robot application considering as example the ball movement in a robot soccer environment. The paper focuses on the...
Hyperbolic self-organizing maps for semantic navigation (2001)
J Org Ontrup, Helge Ritter, Neuroinformatics Group, Neuroinformatics Group
We introduce a new type of Self-Organizing Map (SOM) to navigate in the Semantic Space of large text collections. We propose a "hyperbolic SOM " (HSOM) based on a regular...
Sonification of Multi-Channel Image Data (2000)
T. Hermann, Neuroinformatics Group, T. W. Nattkemper, H. Ritter, W. Schubert
This paper presents a method to inspect multi-channel image data by creating audible sonications, which are `sound images', computed from a stack of image data. While visualization of...
T. W. Nattkemper, H. Wersing, H. Ritter, Neuroinformatics Group, W. Schubert
A neural network architecture for the automatic evaluation of uorescence microscopy images of tissue samples is presented. One image is segmented into regions of uorescent lymphocyte cell bodies and...
Input-Output Stability of Recurrent Neural Networks with Delays using Circle Criteria (1998)
Jochen Steil, Helge Ritter, Neuroinformatics Group
We present a frequency domain analysis of additive recurrent neural networks based on the passivity approach to input-output stability. We apply graphical Circle Criteria for the case of normal...