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ORCIDMarkus Schneider 0005
Person information
- affiliation: University of Ulm, Germany
- affiliation: Ravensburg-Weingarten University of Applied Sciences, Autonomous Mobile Service Robots Laboratory, Weingarten, Germany
Other persons with the same name
- Markus Schneider — disambiguation page
- Markus Schneider 0001 — University of Florida, Gainesville, FL, USA (and 1 more)
- Markus Schneider 0002 — Fraunhofer Gesellschaft, Institute for Secure Information Technology (and 1 more)
- Markus Schneider 0003 — Thomson Corporate Research, Hannover, Germany
- Markus Schneider 0004 — TU München
- Markus Schneider 0006 — Institut für Textiltechnik, Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany
- Markus Schneider 0007 — Institute of Production Science, Karlsruhe Institute of Technology,Karlsruhe, Germany
- Markus Schneider 0008 — Center for Tele-Information, Technical University of Denmark, Lyngby, Denmark
- Markus Schneider 0009
![[0000-0001-8338-5660]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8338-5660")
— University of Edinburgh, UK
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Books and Theses
- 2017
[b1]Markus Schneider:
Expected similarity estimation for large-scale anomaly detection. University of Ulm, Germany, 2017
Journal Articles
- 2024
- [j5]Mark Locherer, Christopher M. A. Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan-Philipp Radtke:
Multi-label semantic segmentation of magnetic resonance images of the prostate gland. Discov. Artif. Intell. 4(1): 66 (2024) - 2023
- [j4]Christopher M. A. Bonenberger, Markus Schneider, Friedhelm Schwenker, Wolfgang Ertel:
A Novel Approach to Spectral Estimation and Moving Average Model Parameter Estimation. IEEE Signal Process. Lett. 30: 1367-1371 (2023) - 2022
- [j3]Christopher M. A. Bonenberger, Wolfgang Ertel, Friedhelm Schwenker, Markus Schneider:
Singular Spectrum Analysis and Circulant Maximum Variance Frames. Adv. Data Sci. Adapt. Anal. 14(3&4): 2250008:1-2250008:27 (2022) - [j2]Christopher M. A. Bonenberger, Friedhelm Schwenker, Wolfgang Ertel, Markus Schneider:
Cyclic Nonlinear Correlation Analysis for Time Series. IEEE Access 10: 114223-114231 (2022) - 2016
- [j1]Markus Schneider, Wolfgang Ertel, Fabio Ramos:
Expected similarity estimation for large-scale batch and streaming anomaly detection. Mach. Learn. 105(3): 305-333 (2016)
Conference and Workshop Papers
- 2024
- [c13]Christopher M. A. Bonenberger, Markus Schneider, Wolfgang Ertel, Friedhelm Schwenker:
A Note on Linear Time Series Prediction. KI 2024: 30-44 - [c12]Julian Haasis, Christopher M. A. Bonenberger, Markus Schneider:
Instance Segmentation with a Novel Tree Log Detection Dataset. KI 2024: 300-307 - 2022
- [c11]Christopher M. A. Bonenberger, Wolfgang Ertel, Markus Schneider, Friedhelm Schwenker:
Structured Nonlinear Discriminant Analysis. ECML/PKDD (1) 2022: 38-54 - 2021
- [c10]Daniel Hofer, Pranav Krishna Prasad, Markus Schneider:
Comparison of Anomaly Detection and Solution Strategies for Household Service Robotics using Knowledge Graphs. IICAIET 2021: 1-6 - [c9]Christopher M. A. Bonenberger, Wolfgang Ertel, Markus Schneider:
κ-Circulant Maximum Variance Bases. KI 2021: 17-29 - 2016
- [c8]Markus Schneider, Wolfgang Ertel, Günther Palm:
Constant Time EXPected Similarity Estimation for Large-Scale Anomaly Detection. ECAI 2016: 12-20 - 2015
- [c7]Markus Schneider, Wolfgang Ertel, Günther Palm:
Expected similarity estimation for large scale anomaly detection. IJCNN 2015: 1-8 - [c6]Markus Schneider, Wolfgang Ertel, Günther Palm:
Kernel Feature Maps from Arbitrary Distance Metrics. KI 2015: 137-150 - 2014
- [c5]Markus Schneider, Fabio Ramos:
Transductive Learning for Multi-Task Copula Processes. ECAI 2014: 1089-1090 - [c4]Benjamin Reiner, Wolfgang Ertel, Heiko Posenauer, Markus Schneider:
LAT: A simple Learning from Demonstration method. IROS 2014: 4436-4441 - 2010
- [c3]Markus Schneider, Richard Cubek, Tobias Fromm, Wolfgang Ertel:
Combining Gaussian Processes and Conventional Path Planning in a Learning from Demonstration Framework. Eurobot Conference 2010: 118-129 - [c2]Markus Schneider, Wolfgang Ertel:
Robot Learning by Demonstration with local Gaussian process regression. IROS 2010: 255-260 - 2009
- [c1]Wolfgang Ertel, Markus Schneider, Richard Cubek, Michel Tokic:
The Teaching-Box: A universal robot learning framework. ICAR 2009: 1-6
Informal and Other Publications
- 2016
- [i3]Markus Schneider, Wolfgang Ertel, Fabio T. Ramos:
Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection. CoRR abs/1601.06602 (2016) - 2015
- [i2]Markus Schneider, Wolfgang Ertel, Günther Palm:
Constant Time EXPected Similarity Estimation using Stochastic Optimization. CoRR abs/1511.05371 (2015) - 2014
- [i1]Markus Schneider, Fabio Ramos:
Transductive Learning for Multi-Task Copula Processes. CoRR abs/1406.0304 (2014)
Coauthor Index
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