Christian Vollmer

According to our database, Christian Vollmer authored at least 9 papers between 2010 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Weiterentwicklung und Anwendung von Sparse-Coding-Verfahren für die Analyse von Armbewegungstrajektorien.

Christian Vollmer

PhD thesis, 2016

2014

Sparse coding of human motion trajectories with non-negative matrix factorization.

Christian Vollmer, Sven Hellbach, Julian Eggert, Horst-Michael Gross

Neurocomputing, 2014

2013

Data filtering for wireless sensor networks using forecasting and value of information.

Sebastian Zöller, Christian Vollmer, Markus Wachtel, Ralf Steinmetz, Andreas Reinhardt

Proceedings of the 38th Annual IEEE Conference on Local Computer Networks, 2013

Learning Features for Activity Recognition with Shift-Invariant Sparse Coding.

Christian Vollmer, Horst-Michael Gross, Julian Eggert

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

Modeling Human Motion Trajectories by Sparse Activation of Motion Primitives Learned from Unpartitioned Data.

Christian Vollmer, Julian Eggert, Horst-Michael Gross

Proceedings of the KI 2012: Advances in Artificial Intelligence, 2012

Estimation of human upper body orientation for mobile robotics using an SVM decision tree on monocular images.

Christoph Weinrich, Christian Vollmer, Horst-Michael Gross

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives.

Christian Vollmer, Julian Eggert, Horst-Michael Groß

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2010

Learning to navigate through crowded environments.

Peter Henry, Christian Vollmer, Brian Ferris, Dieter Fox

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning.

Christian Vollmer, Erik Schaffernicht, Horst-Michael Gross

Proceedings of the Artificial Neural Networks, 2010