Markus Schneider

According to our database, Markus Schneider authored at least 17 papers between 2009 and 2023.

Collaborative distances:

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

2023

A Novel Approach to Spectral Estimation and Moving Average Model Parameter Estimation.

Christopher M. A. Bonenberger, Markus Schneider, Friedhelm Schwenker, Wolfgang Ertel

IEEE Signal Process. Lett., 2023

2022

Cyclic Nonlinear Correlation Analysis for Time Series.

Christopher M. A. Bonenberger, Friedhelm Schwenker, Wolfgang Ertel, Markus Schneider

IEEE Access, 2022

Singular Spectrum Analysis and Circulant Maximum Variance Frames.

Christopher M. A. Bonenberger, Wolfgang Ertel, Friedhelm Schwenker, Markus Schneider

Adv. Data Sci. Adapt. Anal., 2022

Structured Nonlinear Discriminant Analysis.

Christopher M. A. Bonenberger, Wolfgang Ertel, Markus Schneider, Friedhelm Schwenker

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

κ-Circulant Maximum Variance Bases.

Christopher M. A. Bonenberger, Wolfgang Ertel, Markus Schneider

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

Comparison of Anomaly Detection and Solution Strategies for Household Service Robotics using Knowledge Graphs.

Daniel Hofer, Pranav Krishna Prasad, Markus Schneider

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2021

2017

Expected similarity estimation for large-scale anomaly detection.

Markus Schneider

PhD thesis, 2017

2016

Expected similarity estimation for large-scale batch and streaming anomaly detection.

Markus Schneider, Wolfgang Ertel, Fabio Ramos

Mach. Learn., 2016

Constant Time EXPected Similarity Estimation for Large-Scale Anomaly Detection.

Markus Schneider, Wolfgang Ertel, Günther Palm

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Constant Time EXPected Similarity Estimation using Stochastic Optimization.

Markus Schneider, Wolfgang Ertel, Günther Palm

CoRR, 2015

Kernel Feature Maps from Arbitrary Distance Metrics.

Markus Schneider, Wolfgang Ertel, Günther Palm

Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015

Expected similarity estimation for large scale anomaly detection.

Markus Schneider, Wolfgang Ertel, Günther Palm

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

LAT: A simple Learning from Demonstration method.

Benjamin Reiner, Wolfgang Ertel, Heiko Posenauer, Markus Schneider

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Transductive Learning for Multi-Task Copula Processes.

Markus Schneider, Fabio Ramos

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2010

Robot Learning by Demonstration with local Gaussian process regression.

Markus Schneider, Wolfgang Ertel

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Combining Gaussian Processes and Conventional Path Planning in a Learning from Demonstration Framework.

Markus Schneider, Richard Cubek, Tobias Fromm, Wolfgang Ertel

Proceedings of the Research and Education in Robotics - EUROBOT 2010, 2010

2009

The Teaching-Box: A universal robot learning framework.

Wolfgang Ertel, Markus Schneider, Richard Cubek, Michel Tokic

Proceedings of the 14th International Conference on Advanced Robotics, 2009